John 'Femi A.

John 'Femi A.

İstanbul, Türkiye
5 B takipçi 500+ bağlantı

Hakkında

Data & Optimization Leader: 10+ years Solution Architect Lead & Principal Applied…

Hizmetler

John 'Femi A. adlı kullanıcıya ait yazılar

Katkılar

Etkinlik

Deneyim

  • Several SMEs/Startups, Research Organizations across EMEA

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    London Area, United Kingdom

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    Hybrid(Istanbul & Remote)

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    London, England, United Kingdom

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Remote

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Istanbul, Turkey

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    Abuja, Nigeria and 7 other Nigeria States

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    Jalingo, Nigeria

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    Lagos State, Nigeria

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    Lagos

Eğitim

  • İstanbul Teknik Üniversitesi Grafik

    Istanbul Technical University

    Faaliyetler ve Topluluklar:- Consultant on innovative technology & projects for emerging SMEs and International development programs

    PhD Candidacy in Computer Engineering & Science
    Completed required graduate courses and research courses
    Conducted technical project designs and seminars

    Research Focus:

    Explored and researched Software-Defined Networking, XaaS (Data as a Service), and cloud-based models
    Implemented Machine Learning and Artificial Intelligence algorithms using GPU on Emerging Networks

    During my ongoing PhD Candidacy in Computer Engineering & Science, I have…

    PhD Candidacy in Computer Engineering & Science
    Completed required graduate courses and research courses
    Conducted technical project designs and seminars

    Research Focus:

    Explored and researched Software-Defined Networking, XaaS (Data as a Service), and cloud-based models
    Implemented Machine Learning and Artificial Intelligence algorithms using GPU on Emerging Networks

    During my ongoing PhD Candidacy in Computer Engineering & Science, I have immersed myself in cutting-edge research and explored various areas of interest. My focus has revolved around the intersection of Software-Defined Networking, XaaS, and cloud-based models. Additionally, I have dedicated substantial effort to the development of Machine Learning and Artificial Intelligence algorithms for SDN. Leveraging the power of GPU, I have been able to enhance the capabilities of these algorithms, contributing to their effectiveness and efficiency.

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    Faaliyetler ve Topluluklar:Youth development; ICT4D

    Data As A Service using Neural Networks and Artificial Intelligence; Data Mining for Networks and Climate data
    Some Skill sets: System Development, Data Solutions, Apache Kafka, Research, Python (Programming Language), Deep Learning, C++, Neural Networks, TensorFlow, Data Science
    - Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience in data manipulation using a query languages such SQL or analytics software such…

    Data As A Service using Neural Networks and Artificial Intelligence; Data Mining for Networks and Climate data
    Some Skill sets: System Development, Data Solutions, Apache Kafka, Research, Python (Programming Language), Deep Learning, C++, Neural Networks, TensorFlow, Data Science
    - Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience in data manipulation using a query languages such SQL or analytics software such as SAS, SPSS etc

  • Faaliyetler ve Topluluklar:Project Management Training (PMP Exam Preparatory Training)

    Project Management Training

  • Faaliyetler ve Topluluklar:Volunteering (especially concerning Youth Organization or Disables); playing classical music and teaching the Art of Music.

    Electronic and Electrical Engineering, B. Sc.

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    Graduate courses in collaboration with University of Nigeria(Digital Bridge Institute Center, Abuja)

  • Strategies for Starting & Sustaining Your Own Business With Minimal Capital
    Defining the project goals and objectives;
    Planning (stakeholders and beneficiaries; outputs and indicators; resourcing and budgeting; scheduling and timing; risk management; communications plan);
    Implementation and quality control;Evaluation (results and measuring impact; producing the final report);
    Closure (official closure; lessons learnt and follow up planning).

  • Faaliyetler ve Topluluklar:-Research on Emerging Optical Networks and Green Networks -Performance Analysis, Research works on Communication Networks, Optical WDM Networks, WiMAX & LTE using a variety of International Research tools and software(C ++, ns 2 etc); Research works on energy efficiency with respect to Optical WDM Networks and emerging technologies(LTE & WiMAX).

    -Telecommunication Engineering Postgraduate classes and research using various algorithms with C++, MATLAB, ns2, OMNET++ programming
    - collaborated & worked closely with R&D groups and product managers to develop, implement end-to-end technical solutions on energy efficiency with respect to Communication Networks and emerging technologies(LTE & WiMAX);

  • Faaliyetler ve Topluluklar:Youth Development throuhg Education for ALL & ICT4D programs

    - research on Telecommunication networks for improved ROI through SDN and related algorithms.
    - all required project works & courses completed; thesis not submitted

Gönüllü Deneyimler

  • World Health Organization Grafik

    Information Technology Consultant

    World Health Organization

    - 4 yıl

    Sağlık

    Collaborate with other stakeholders in the health sector and International donor to provide health solutions with the aid of Information Technology.

  • Technical Program Committee(Member)

    Global Summit on Computer & Information Technology(IEEE, Tunisia)

    - Halen 9 yıl 8 ay

    Bilim ve Teknoloji

    WCI-2015 (Third International Symposium on Women in Computing and Informatics (WCI-2015)

  • Technical Program Committee(Reviewer)

    IEEE INDICON 2015

    - Halen 9 yıl 7 ay

    Bilim ve Teknoloji

    One of the Technical Program Committee(Reviewer) for submitted papers to the conference.

  • Technical Program Committee(Reviewer)

    International Conference on Computer Technologies Innovations & Applications ICCTIA’15 (GSCIT' 2015)

    - Halen 9 yıl 7 ay

    Bilim ve Teknoloji

    One of the Technical Program Committee(Reviewer) for submitted papers to the conference.

  • Technical Reviewer

    Journal of Telecommunication, Electronic and Computer Engineering (JTEC), ISSN: 2180-1843

    - Halen 7 yıl 8 ay

    Eğitim

    Reviewing technical papers for "2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017)"

  • Technical Reviewer

    Second International Symposium on Intelligent Systems Technologies and Applications, 2016

    - 2 ay

    Eğitim

    Technical review for Publication in the "Special Issue in the Journal of Intelligent and Fuzzy Systems, IOS Press, Netherlands (SCI Impact Factor 2015: 1.812)" and " Advances in Intelligent Systems and Computing Series (Springer, Germany)".

  • Public Library of Science (PLOS) Grafik

    Scientific Researcher

    Public Library of Science (PLOS)

    - Halen 5 yıl 4 ay

    Bilim ve Teknoloji

    Helping to deliver research-based solutions through review and edit of product or project.

  • Information Technology Project Consultant

    USAID

  • Bill & Melinda Gates Foundation Grafik

    Senior Data Specialist

    Bill & Melinda Gates Foundation

    Sağlık

  • Pathfinder International Grafik

    Monitoring And Evaluation Officer

    Pathfinder International

    Sağlık

  • IEEE Grafik

    Conference Assistant

    IEEE

    - Halen 12 yıl 4 ay

    Bilim ve Teknoloji

  • Abt Associates Grafik

    Information Technology Project Manager

    Abt Associates

    Sağlık

  • MEASURE Grafik

    Data Manager

    MEASURE

  • United Nations Grafik

    Health Educator

    United Nations

    - 1 yıl 2 ay

    Sağlık

Yayınlar

  • BitCoin, Wallet management and Network security management with storage components: A model

    https://www.researchgate.net

    The bitcoin ecosystem and variety of wallets is having high volume operations round the crypto-currency world. The success and value is high to the tune of $177 billion. The security issue of wallet and the security hole is increasing too as at present a value of $ 31 million has been stolen [6]. The system is enabling operation among intermediaries like the mining ppols, remote wallet etc. Crypto-currency system needs blockchain for wallet management so as to remove man-in-the-middle attacks…

    The bitcoin ecosystem and variety of wallets is having high volume operations round the crypto-currency world. The success and value is high to the tune of $177 billion. The security issue of wallet and the security hole is increasing too as at present a value of $ 31 million has been stolen [6]. The system is enabling operation among intermediaries like the mining ppols, remote wallet etc. Crypto-currency system needs blockchain for wallet management so as to remove man-in-the-middle attacks during downtime followed by an uptime. There is a need for cybersecurity protection of wallet, not least due to the use of emerging digital technologies, ambient intelligent devices in the internet of everything, and social networks, and the healthcare economy policy trend of centralisation of specialist expertise thus increasing the need for applications all of which exposes the Crypto-currency system to new risks and vulnerabilities. We need a holistic system that protects the confidentiality, integrity and availability of wallet data. The directive implies that there is an urgent need for an end-to-end security model. The proposed CryptoWallet Demonstrator system is a cyber-security system enabled by Blockchain Technologies and Context-aware Privacy Preserving role-based access to and transmission of data from wallet devices and system. Cryp-toWallet will use distributed databases in a permissioned environment so that only known authorized parties can access and verify data or records among each other.

    Yayını gör
  • A Data as a Service (DaaS) Model for GPU-based Data Analytics

    Cornell University Library (arXiv.org)| |

    Cloud-based services with resources to be provisioned for consumers are increasingly the norm, especially with respect to Big data, spatiotemporal data mining and application services that impose a user's agreed Quality of Service (QoS) rules or Service Level Agreement (SLA). Considering the pervasive nature of data centers and cloud system, there is a need for a real-time analytics of the systems considering cost, utility and energy. This work presents an overlay model of GPU system for Data…

    Cloud-based services with resources to be provisioned for consumers are increasingly the norm, especially with respect to Big data, spatiotemporal data mining and application services that impose a user's agreed Quality of Service (QoS) rules or Service Level Agreement (SLA). Considering the pervasive nature of data centers and cloud system, there is a need for a real-time analytics of the systems considering cost, utility and energy. This work presents an overlay model of GPU system for Data As A Service (DaaS) to give a real-time data analysis of network data, customers, investors and users' data from the datacenters or cloud system. Using a modeled layer to define a learning protocol and system, we give a custom, profitable system for DaaS on GPU. The GPU-enabled pre-processing and initial operations of the clustering model analysis is promising as shown in the results. We examine the model on real-world data sets to model a big data set or spatiotemporal data mining services. We also produce results of our model with clustering, neural networks' Self-organizing feature maps (SOFM or SOM) to produce a distribution of the clustering for DaaS model. The experimental results thus far show a promising model that could enhance SLA and or QoS based DaaS.

    NB:-Accepted: 23 December 2017, by the IEEE/IFIP NTMS Workshop on Big Data and Emerging Trends (WBD-ET’2018); it was later withdrawn because of funding issues. An extended/enhanced version will be published in future dates in related journals

    Yayını gör
  • Multipath Routing and Brokering in Inter-Domain or Inter-AS with SDN: A Model

    IEEE

    The problems associated with multipath routing in Border Gateway Protocol (BGP) for Autonomous Systems (ASes) can be solved with some model or control systems from the Software Defined Networking (SDN). The SDN controller could be used to solve the inconsistencies in the scalability and latency of the Routing Information Base (RIB) of ASes. Also, a set of modules for Inter-AS routing and Brokering could be managed successfully. A good number of solutions are provided for multipath routing…

    The problems associated with multipath routing in Border Gateway Protocol (BGP) for Autonomous Systems (ASes) can be solved with some model or control systems from the Software Defined Networking (SDN). The SDN controller could be used to solve the inconsistencies in the scalability and latency of the Routing Information Base (RIB) of ASes. Also, a set of modules for Inter-AS routing and Brokering could be managed successfully. A good number of solutions are provided for multipath routing issues in this sense of solving critical parameters like Brokering system of Inter-AS, the increase in response time to disaster, load balancing, reliability of the route between ASes with the new paradigm of SDN and enabling technologies. We believe that the advent of software enabled network and machine will not only enable scalable inter-domain routing with defined policies, but it is achievable with optimum result.

    Yayını gör
  • k -Maximally Disjoint Path Routing Algorithms for SDN

    IEEE

    The problem of path optimization and k disjoint pairs are important in survivable, QoS-aware communication network and SDN controlled networks. While the problem of optimally solving for maximally link-disjoint path pairs have always received a good level of attention, more work is needed with respect to k-maximally disjoint, multi-constrained, multiple QoS link weights route provisioning, and efficient hybrid algorithms for the problem. We propose a model algorithm to find k-maximally…

    The problem of path optimization and k disjoint pairs are important in survivable, QoS-aware communication network and SDN controlled networks. While the problem of optimally solving for maximally link-disjoint path pairs have always received a good level of attention, more work is needed with respect to k-maximally disjoint, multi-constrained, multiple QoS link weights route provisioning, and efficient hybrid algorithms for the problem. We propose a model algorithm to find k-maximally link-disjoint paths with Cost (kMDPC) for QoS routing with respect to source and destination pairs that ensures reliability, flexibility, and survivability. The computational complexity of our algorithm is efficient with the use of a modified Dijkstra's algorithm. The maximum k numbers of paths are maximally disjoint paths for survivability, robustness and also at the long run to satisfy a multiple set of defined QoS weight value constraints. The multiple QoS constraints addressed by the heuristic algorithm are of the delay, delay-jitter, bandwidth, link length and link cost parameter. In polynomial time, kMDPC finds very high number of average maximally disjoint paths. The path diversity through the paths disjointness capabilities for the SDN data-plane, provided by kMDPC will also help in the switch load-balancing, Controller load-balancing and multiple flow tables management by the SDN since the provisioned paths are with the required QoS.

    Yayını gör

Kurslar

  • Advance Switching Networks

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  • Advance Topics in Computer Engineering (4G Wideband Wireless Network Architectures/LTE and WiMAX Technologies)

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  • Advance Topics in Computer Networks

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  • Coldfusion System Management

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  • Communication Network Modelling and Simulation

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  • Entrepreneurship and Business Development

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  • Evolutionary Computation

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  • Graph Theory and Algorithms

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  • Grid/Cloud Computing

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  • Guided Research

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  • Human-Robotics Interaction

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  • Intelligent Networks

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  • Interconnection & Mobile Applications

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  • Mobile & Personal Communication Systems

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  • Network Security

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  • Numerical Methods in Optimization

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  • Optical Networks

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  • Performance Analysis of Computer Networks

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  • Project Management for PMI Certification

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  • Project Management(ICT projects as case study)

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  • Quality of Service in ICT Services/System

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  • Queueing Theory

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  • Robotics Intelligence

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  • Scripting Programming Languages (HTML, Java, etc)

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  • Signal Detection and Estimation Theory

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  • Spectrum Management

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  • Stochastic Processes Modelling

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  • Telecommunication Engineering Theory

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  • Telecommunication Management and Control

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  • Telecommunication Network Planning & Management

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  • Telecommunication and Data Communication Laws with focus on Africa

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  • Telecommunication network and Design

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  • VSAT systems Design, Configuration, Installation and Management

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  • Wireless Network- Designs and Security

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  • e-Commerce and Applications

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Projeler

  • Fintech delivery and solution for EMEA

    The project aimed to develop and deliver cutting-edge fintech solutions to enhance various financial services, including banking, payments, remittances, and lending. The objective was to streamline processes, reduce costs, and provide a seamless user experience for customers.

    https://pennytrustglobalsystems.com/

  • Cooperative Energy Management with Federated Learning, Digital Twin and related Technologies

  • Data As A Service (DaaS) models and systems for health, agriculture, climate and related architectures using AI & Machine Learning Algorithms

    - Halen

    - GPU-based analytics on data-as-a-service (DaaS) cloud systems for ITU-TARBIL (Agricultural Monitoring and Information System of Turkey) projects using Neural Networks
    - results of our model is with clustering, neural networks' Self-organizing feature maps (SOFM or SOM) to produce a distribution of the clustering system for DaaS model usng various skills as SQL, Tableau, Analytical Skills, Data Governance, Data Mining, Data Lakes, Data Analytics Amazon Web Services (AWS)
    - With the…

    - GPU-based analytics on data-as-a-service (DaaS) cloud systems for ITU-TARBIL (Agricultural Monitoring and Information System of Turkey) projects using Neural Networks
    - results of our model is with clustering, neural networks' Self-organizing feature maps (SOFM or SOM) to produce a distribution of the clustering system for DaaS model usng various skills as SQL, Tableau, Analytical Skills, Data Governance, Data Mining, Data Lakes, Data Analytics Amazon Web Services (AWS)
    - With the pervasive nature of data, we are creating a model for service with different SLA forms for multi-level of users like NGOs, Governmental organization and research organization,
    - The models also include a XaaS enabled on Virtualization enabled Server and clusters with security model of Blockchain system

    Tümünü gör
  • URBAN GreenUp

    - Halen

    URBAN GreenUp aims at developing, applying and validating a methodology for Renaturing Urban Plans to mitigate the effects of climate change, improve air quality and water management and increase the sustainability of our cities through innovative nature-based solutions.

    In URBAN GreenUP project BitNet is the local ICT leader, working very closely with DEMIR, Izmir municipality and other local partners, designing and developing a city-wide NBS platform and open data repository, and…

    URBAN GreenUp aims at developing, applying and validating a methodology for Renaturing Urban Plans to mitigate the effects of climate change, improve air quality and water management and increase the sustainability of our cities through innovative nature-based solutions.

    In URBAN GreenUP project BitNet is the local ICT leader, working very closely with DEMIR, Izmir municipality and other local partners, designing and developing a city-wide NBS platform and open data repository, and integrating this to the global platform led by GMV.

    Tümünü gör
  • Development and deployment of the first version of an "audio to text" and "text to audio" solution for one of the core spoken languages in the EMEA region.

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    I led a project to develop and deploy the first version of an audio to text and text to audio solution for one of the core spoken languages in the EMEA region. Our solution was built using Google APIs, NLP algorithms, and semantic analysis. The programming languages and tools we used for the MVP included Python, Django, web services, C++, PyTorch, and Google Colaboratory.

    As part of the project, we also conducted stakeholder management to ensure that the solution met the needs and…

    I led a project to develop and deploy the first version of an audio to text and text to audio solution for one of the core spoken languages in the EMEA region. Our solution was built using Google APIs, NLP algorithms, and semantic analysis. The programming languages and tools we used for the MVP included Python, Django, web services, C++, PyTorch, and Google Colaboratory.

    As part of the project, we also conducted stakeholder management to ensure that the solution met the needs and expectations of our clients and end-users. We implemented semantic analysis to improve the accuracy and contextual understanding of the transcribed audio and the synthesized text-to-audio output.

    To build the solution, we explored various cloud-based speech-to-text services, such as Microsoft Azure's Cognitive Services Speech-to-Text and Google Cloud Speech-to-Text. We also researched and utilized existing libraries and APIs for text-to-speech conversion.

    After developing the solution, we tested and deployed the MVP, which successfully converted audio to text and vice versa for the target language. Our solution was well-received by our clients and end-users, who found it to be accurate and reliable.

    In addition to our core solution, we also explored the use of system speech to convert MP3 files to text, which proved to be a useful addition to our solution.

    Overall, the project involved a combination of technical skills, project management, and stakeholder management to successfully execute and deploy the first version of the audio to text and text to audio solution.

  • audio to text/text to audio system for one of the core spoken languages in the EMEA region.

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    I led a project to develop and deploy the first version of an audio to text and text to audio solution for one of the core spoken languages in the EMEA region. Our solution was built using Google APIs, NLP algorithms, and semantic analysis. The programming languages and tools we used for the MVP included Python, Django, web services, C++, PyTorch, and Google Colaboratory.

    As part of the project, we also conducted stakeholder management to ensure that the solution met the needs and…

    I led a project to develop and deploy the first version of an audio to text and text to audio solution for one of the core spoken languages in the EMEA region. Our solution was built using Google APIs, NLP algorithms, and semantic analysis. The programming languages and tools we used for the MVP included Python, Django, web services, C++, PyTorch, and Google Colaboratory.

    As part of the project, we also conducted stakeholder management to ensure that the solution met the needs and expectations of our clients and end-users. We implemented semantic analysis to improve the accuracy and contextual understanding of the transcribed audio and the synthesized text-to-audio output.

    To build the solution, we explored various cloud-based speech-to-text services, such as Microsoft Azure's Cognitive Services Speech-to-Text and Google Cloud Speech-to-Text. We also researched and utilized existing libraries and APIs for text-to-speech conversion.

    After developing the solution, we tested and deployed the MVP, which successfully converted audio to text and vice versa for the target language. Our solution was well-received by our clients and end-users, who found it to be accurate and reliable.

    Overall, the project involved a combination of technical skills, project management, and stakeholder management to successfully execute and deploy the first version of the audio to text and text to audio solution.

  • digitizing 100-year-old newspapers for a top government in EMEA, using natural language processing (NLP) processes, machine learning, cloud-based solutions for delivery

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    As the project lead for digitizing 100-year-old newspapers for a top government in EMEA, I oversaw the use of various NLP processes, such as BERT, Pytorch, line segmentation, page segmentation, machine learning, cloud-based solutions for delivery, and various basic and advanced NLP algorithms, using programming languages such as Python. I led a team of engineers, data analysts, and business analysts, utilizing Jira to coordinate tasks and deliverables.

    The project aimed to extract…

    As the project lead for digitizing 100-year-old newspapers for a top government in EMEA, I oversaw the use of various NLP processes, such as BERT, Pytorch, line segmentation, page segmentation, machine learning, cloud-based solutions for delivery, and various basic and advanced NLP algorithms, using programming languages such as Python. I led a team of engineers, data analysts, and business analysts, utilizing Jira to coordinate tasks and deliverables.

    The project aimed to extract articles from old newspapers that had been digitized, with the goal of making the content more accessible and searchable. To achieve this, we utilized line segmentation techniques to split the images into lines of text, and then page segmentation techniques to identify individual pages. We then used BERT, a powerful NLP algorithm, to extract the text from each article.

    To implement BERT, we first fine-tuned the model using preprocessed data, using techniques such as tokenization, padding, and attention masks. We then used the trained BERT model to extract the relevant text from each article, identifying key features such as headlines and bylines to create structured data.

    To ensure scalability and accessibility, we used cloud-based solutions such as Google Cloud to deliver the data to end-users. Additionally, we utilized a variety of programming languages, including Python, to implement various NLP algorithms and fine-tune the BERT model.

    Our approach utilized cutting-edge NLP techniques and cloud-based solutions to achieve our goals, and our team's use of Jira helped to keep everyone organized and on track throughout the project.

  • Smart Retrofitting in Process Industry/ www.retrofeed.eu

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    RETROFEED main objective is to enable the use of an increasingly variable, bio-based and circular feedstock in process industries through the retrofitting of core equipment and the implementation of an advanced monitoring and control system, and providing support to the plant operators by means of a DSS – Decision Support System – covering the production chain.

    This approach will be demonstrated in five resource and energy intensive sectors (ceramic, cement, aluminium, steel, and…

    RETROFEED main objective is to enable the use of an increasingly variable, bio-based and circular feedstock in process industries through the retrofitting of core equipment and the implementation of an advanced monitoring and control system, and providing support to the plant operators by means of a DSS – Decision Support System – covering the production chain.

    This approach will be demonstrated in five resource and energy intensive sectors (ceramic, cement, aluminium, steel, and agrochemical)


    – To increase the current amount of raw material introduced in the furnace in order to reduce the overall raw materials costs and a reduction in primary aluminium consumption.

    – To prevent energy and quality penalties detected through the retrofitting and an improved control process.
    – To increase the energy efficiency of the plant’s main process.

    Demo-site achievements

    Designs and drawings of the new O2 injector, delacquering drum and new burner heads done

    The previous version of the digital twin on the melting furnace delivered

    Tümünü gör
  • VISDOM (Visual software diagnostics)

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    Enabling DevOps process through Data collection, aggregation, processing and analysis of respective DevOps systems to produce present and future Visualizations. Also, different partner will do demonstration, experimentation and validation through different country project.

    The VISDOM project is developing new types of visualisations that utilise and merge data from several data sources in modern DevOps development. The aim is to provide simple “health check” visualisations about the…

    Enabling DevOps process through Data collection, aggregation, processing and analysis of respective DevOps systems to produce present and future Visualizations. Also, different partner will do demonstration, experimentation and validation through different country project.

    The VISDOM project is developing new types of visualisations that utilise and merge data from several data sources in modern DevOps development. The aim is to provide simple “health check” visualisations about the state of the development process, software and use.

    The DevOps' process that is indispensable to the constantly evolving systems, products and applications is been built. The lifecycle of engineering systems and software is expanding with more and more stakeholders, more roles in development, deployment, manufacturing and operations, extending further back into design and further forward into operations.

    Tümünü gör
  • Personalization systems for real time news, (media industry) stories and fashion related products through Recommendation systems

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    - design, development of Collaborative-Content-based/Hybrid filtering technique Recommendation systems for personalized products' APIs from event-based triggers to intuitive apps, next-generation personalization capabilities using a variety of data sources
    - leveraging analytics data from a variety of sources—ERP, mobile, CRM, and more—to create increasingly personalized news and fashion offerings technology/tools as with Data Engineering, Machine Learning Algorithms, XGBoost, Seaborn…

    - design, development of Collaborative-Content-based/Hybrid filtering technique Recommendation systems for personalized products' APIs from event-based triggers to intuitive apps, next-generation personalization capabilities using a variety of data sources
    - leveraging analytics data from a variety of sources—ERP, mobile, CRM, and more—to create increasingly personalized news and fashion offerings technology/tools as with Data Engineering, Machine Learning Algorithms, XGBoost, Seaborn, PyTorch, Amazon Web Services (AWS)
    - design of APIs to enable fashion related decisions quickly and real-time. through a combinations of various machine learning algorithm

  • predictive analysis of the Quality of use Experience (QoE) for Voice over LTE (VoLTE) service

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    predictive analysis of the Quality of user Experience (QoE) through the Mean Opinion Score (MOS), for Voice over LTE (VoLTE) services. The result is a product to process the boosting of VoLTE User Experience with Centralized SON

    Tümünü gör
  • Smart Network Planning

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    -Technical Analysis, Operating Models enabled predictive AI algorithms and traffic models to create network clusters based on the characteristics of group of cells as well as to forecast network and subscriber metrics.
    - product helps telecommunication operators to weigh their ROI characterisitcs with respect to when and where to upgrade the capacity of network nodes and by how much with a high level of confidence.
    - reducing 30% of CAPEX/OPEX and increasing ROI to the tune of 70%…

    -Technical Analysis, Operating Models enabled predictive AI algorithms and traffic models to create network clusters based on the characteristics of group of cells as well as to forecast network and subscriber metrics.
    - product helps telecommunication operators to weigh their ROI characterisitcs with respect to when and where to upgrade the capacity of network nodes and by how much with a high level of confidence.
    - reducing 30% of CAPEX/OPEX and increasing ROI to the tune of 70% through various Business, Quality Control, Data Visualization, Visualization, Business Analysis models

    Tümünü gör
  • modelling GIS in Telecommunication system for Predictive Data Analytics

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    Product design methods with algorithms to model GIS system for Predictive Data Analytics using artifical intelligence system and Business analysis frameworks. Parameters are : voice, data, VoLTE and ViLTE services, customer complaint location, transport network capacity, etc.
    - reducing CAPEX/OPEX and increasing ROI

    Tümünü gör
  • Blockchain embedded platform for Electronic Health Records (EHR) with Technical Analysis & Operating Models

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    Development of prototype and AI-based products for Electronic Medical Record (EMR),Electronic Health Records (EHR), Precision Medicine systems using blockchain embedded platform through various Business Acumen\ Pharmaceutical datasets (prescriber-plan data, patient level data, transactional claims, EMR/EHR data, SPP Hub data, & diagnostic data) from health partners, nurses and doctors data. As part of the EU H2020 partners we collaborated with organizations from 6 EU partners. The models helps…

    Development of prototype and AI-based products for Electronic Medical Record (EMR),Electronic Health Records (EHR), Precision Medicine systems using blockchain embedded platform through various Business Acumen\ Pharmaceutical datasets (prescriber-plan data, patient level data, transactional claims, EMR/EHR data, SPP Hub data, & diagnostic data) from health partners, nurses and doctors data. As part of the EU H2020 partners we collaborated with organizations from 6 EU partners. The models helps in the analysis for health's record key insights so that required communications is available for several health clients.

    The technology stack/skills involves Distributed Ledger Technology (DLT), Smart Contracts, Hyperledger, Ethereum , SQL, Tableau, Analytical Skills, Data Governance, Data Mining, Data Lakes, Data Analytics Amazon Web Services (AWS) , Statistical Analysis, Data Standards, Data Analytics, Clinical Trials, Healthcare

  • INTEL sponsored "One Laptop per Child" for Selected School in Kano, Nigeria

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    provision of Internet, primary education enabled-system for selected primary schools in Kano

    Diğer oluşturanlar
    Tümünü gör
  • IT Function Transformation - Deloitte West Africa, Lagos Office

    -

    Overview:

    Key Engineer leading IT function transformation at Deloitte West Africa, Lagos, in collaboration with partners and stakeholders, emphasizing infrastructure enhancement, integrated emerging technologies, and operational excellence for efficient telecommunication and enterprise software deployment across Africa.

    Scope and Achievements:

    ●Streamlined data center operations, reducing costs and boosting efficiency through consolidation and virtualization.
    ●Aligned IT…

    Overview:

    Key Engineer leading IT function transformation at Deloitte West Africa, Lagos, in collaboration with partners and stakeholders, emphasizing infrastructure enhancement, integrated emerging technologies, and operational excellence for efficient telecommunication and enterprise software deployment across Africa.

    Scope and Achievements:

    ●Streamlined data center operations, reducing costs and boosting efficiency through consolidation and virtualization.
    ●Aligned IT infrastructure with business objectives, ensuring seamless implementation of transformation initiatives.
    ●Fostered innovation by adopting emerging computing technologies, positioning the organization as a tech leader.
    ●Developed strategies to address infrastructure challenges and drive future growth.
    ●Mitigated risks, ensuring smooth project execution and minimal disruptions.


    This project showcased my commitment to driving IT function transformation, leveraging tech innovation for operational excellence, and enhancing Deloitte West Africa's competitive edge in telecommunications and enterprise software deployment across Africa.

  • first West African deployment of online transaction solution for First Bank of Nigeria

    -

    as a Lead Network Architect for First Bank of Nigeria Finacle deployment across south western states of Nigeria
    Led the network audit and related for the digital transformation system across several S/W states of Nigeria

    - Full system and network services deployment 100% Oracle online banking services for over 20 branches of First Bank of Nigeria.
    - Partnered with development and product owners to deliver effective and reliable test suites in Fulfillment and Servicing application…

    as a Lead Network Architect for First Bank of Nigeria Finacle deployment across south western states of Nigeria
    Led the network audit and related for the digital transformation system across several S/W states of Nigeria

    - Full system and network services deployment 100% Oracle online banking services for over 20 branches of First Bank of Nigeria.
    - Partnered with development and product owners to deliver effective and reliable test suites in Fulfillment and Servicing application environments;
    - team lead for test planning, execution and coordination efforts while insuring optimal test strategies are upheld.

  • GPU-based HPC data-intensive infrastructure

    -

    - designed & solution architect provisioning for distributed applications on High Performance Computing/Technical Computing environments (ISV applications, job schedulers, GPU’s, etc.)
    - the GPU-based infrastructure architecture, compute, storage and networking is of Fujitsu system, DELL, HUAWEI
    - customers involved are 2 major R&D centre in Turkey
    - used Bright Cluster Manager to eliminates complexity and enables flexibility from edge to core to cloud.

    Tümünü gör
  • Human Resources & CRM AI-based Analytics

    -

    - HR Analytics Solutions Architect, testing and pre-production to create a disruption for key future HR in enterprise related to workforce and how work gets done.
    - modelling & product design of Artificial Intelligence-based insights with workforce data analytics
    - the main customers is two of the leading banking industry in Turkey

Onur ve Ödüller

  • Award for the successful development, deployment of an Industrial robotics solution for skimming related processes in the industry 4.0 system and manufacturing sector.

    -

    Award for the successful development, deployment as Solution Architect & Data Scientist role for an Industrial robotics solution for skimming related processes in the industry 4.0 system and manufacturing sector.

  • Nominated for "Honorable Paper" IEEE Computer Society CyberC 2015

    International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015

    With respect to the IEEE Computer Society Paper "k -Maximally Disjoint Path Routing Algorithms for SDN"

  • Research Scholar

    Federal Republic of Nigeria & Republic of Turkey

  • Appreciation of Exemplary work & Dedication

    Pathfinder International

    Appreciation of Exemplary work and Dedication to Pathfinder International

  • Federal Republic of Nigeria Undergraduate Scholar, 2001

    Federal Republic of Nigeria

    selected as one of the Undergraduate scholar after a round of test throughout the Country

  • Dean of technology Honor list

    Osun state College of Technology, Osun state (A levels)

Diller

  • Turkish

    Profesyonel çalışma yetkinliği

  • English

    Ana dil veya ikinci dil yetkinliği

  • Yoruba

    Ana dil veya ikinci dil yetkinliği

  • French

    Başlangıç düzeyinde yetkinlik

Organizasyonlar

  • ISACA

    Member

    - Halen

    Certified Information System Auditor (CISA) Certifications & Practice

  • AFM Worldwide

    Youth Development Advocate

    - Halen

    developing trainings, models and systems for emerging Generation X, Y & Z

  • IEEE

    Member

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