Roman Melnyk

🎙 Thrilled to be part of #BluzBrothersPodcast! We discussed everything you need to know about transitioning into IT careers: 🤔 Is it the right move for you? 📚Top learning resources & strategies 💼My personal journey into the tech world Put on your headphones and join us on this journey into the world of IT! 🔊

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🚀 Exciting News: I've Completed the "AI_devs2" Course! 🚀 I am thrilled to announce that I have successfully completed the "AI_devs2" course, a comprehensive program designed to dive deep into the world of Generative AI, focusing on OpenAI's GPT-4 technology. This course has armed me with the skills to program and automate processes using GPT-4, setting a new benchmark in my professional development. 🤖 Throughout this journey, I had the privilege of learning from some of the brightest minds in the industry, who brought real-world applications and cutting-edge research into the classroom. The curriculum was a perfect amalgamation of theoretical foundations and practical implementations, helping me understand the nuances of Generative AI technologies and their transformative potential.🌟 One of the highlights was gaining hands-on experience with OpenAI models, which allowed me to build, test, and refine AI-driven applications. This sharpened my technical skills and enriched my problem-solving strategies, making me better equipped to tackle complex challenges in the AI space. 💻 The course also delved deep into AI's ethical considerations and societal impacts, a crucial aspect that enriches the technological discourse. Discussions around AI ethics have inspired me to advocate for responsible AI usage and to strive to implement AI solutions that are both innovative and ethical. 🌐 As I receive my certificate, I am not just celebrating the end of a course but the beginning of a journey. Armed with the knowledge and skills confirmed by this certification, I am eager to explore new opportunities where I can apply my learning to drive impact. 🚀 To my instructors, peers, and everyone involved in the "AI_devs2" program, thank you for making this one of the best educational experiences I've ever had. Your mentorship, support, and insights have been invaluable. 🔥 Jakub Mrugalski Mateusz Chrobok Adam Gospodarczyk Here’s to future projects where I can bring all these learnings to life! Let's connect and explore potential collaborations that leverage AI to solve real-world problems. 🌐🤖 #AI_devs2 #aidevs #AI #GenerativeAI #OpenAI #GPT4 #Programming #Automation #ContinuousLearning #ProfessionalGrowth

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Departing for Krakow and the LambdaDays conference where I'll be speaking how it's not only possible but desirable to create full stack web applications in #fsharp adopting the core principles of functional programming with data, types and values. Are you creating web applications today using JS / TS, React and .NET technologies? All of these popular technologies play beautifully with the FP paradigm.

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Our very own Tomasz Konieczny shares how Testkube can leverage the scalability and reliability of Kubernetes for test-specific purposes by using Kubernetes CRDS. Check out his talk from DevOps Days Warsaw on Youtube: https://bit.ly/3S6ErPa

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Today we invite you to watch a recording of Contributed Talks from the ML in PL 2023 conference, where Piotr Januszewski talked about the "Mastering MLops at a reasonable scale at allegro".  https://lnkd.in/dEysRRKi In today's competitive e-commerce landscape, Allegro is constantly seeking ways to harness the power of Machine Learning (ML) efficiently. Central to our efforts is the challenge of building ML pipelines that can deliver personalized recommendations to our vast user base. This presentation will share our journey in mastering these pipelines at a scale that's both practical and impactful. While the world of ML offers many tools, working at a "Reasonable Scale" has its hurdles. Unlike tech giants with virtually limitless resources, most enterprises don't have the luxury of processing billions of data points daily, hiring endless talent, or leveraging infinite computing power. At Allegro, we have to be smart with our resources. We often face challenges like ensuring consistent data quality across diverse sources, managing the intricacies of deployment without the luxury of vast dedicated teams, or the need to make quick recommendations with the computing power we have available. Adapting to new ML techniques while keeping our systems efficient is a constant balancing act. This talk will dive deep into the challenges of doing ML at a reasonable scale. Through Allegro's experiences, we aim to show that with the right strategies, even mid-sized operations can achieve great ML outcomes. Piotr graduated with honors his engineering and master's degrees in computer science at the Politechnika Gdańska. He is a research engineer in the Machine Learning Research team at Allegro, where he works on the application of reinforcement learning for recommendation systems. At the same time, he is conducting research for his PhD in deep reinforcement learning at the Politechnika Gdańska. During his scientific career, he had the opportunity to, among others, cooperate with the VGG group at the University of Oxford on the "Toddler-Inspired Active Representation Learning" project and prepared materials and conducted classes on "Reinforcement Learning" at the Uniwersytet Warszawski. While working at Intel Corporation, Piotr also gained experience in implementing drivers for general-purpose computing on Intel GPUs and implementing libraries for Intel's deep learning accelerators. Privately, he is interested in science in general, and space exploration in particular. He likes hard sci-fi movies and books, post-apocalyptic, detective stories, but also space-opera novels. In his free time, he runs, bikes, snowboards, and watches the stars through his Newtonian telescope.

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