A software engineer with a strong backend foundation and a steadily developed specialization in artificial intelligence. Professionally connected with the world of Java and distributed systems, he has spent years designing and developing microservices, APIs, and platforms running in cloud and containerized environments.
He currently serves as AI Technical Lead at j-labs, where he focuses on exploring and applying AI technologies in practice – from classic backend systems to modern solutions built on LLMs. He combines engineering precision with an analytical approach to problem-solving, always weighing complexity, maintenance costs, and real business value.
A graduate of postgraduate studies in Machine Learning and Data Science at AGH University of Science and Technology, with hands-on experience in deep learning, NLP, and data analysis. His interests include AI agents, RAG systems, and the real-world application of artificial intelligence in production environments – with a strong focus on where AI genuinely adds value and where it merely increases complexity.
An engineer who prefers demonstrating the real capabilities and limitations of AI over promising “AI magic.” If you want to understand how to combine a classic software engineering mindset with the new wave of LLM-based tools – you’re in the right place.
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