Software engineer with a strong backend foundation and a steadily growing specialization in artificial intelligence. Professionally connected with the world of Java and distributed systems, where for years he has been designing and developing microservices, APIs, and platforms running in cloud-native and containerized environments.Currently serving as an AI Technical Lead at j-labs, focusing on the exploration and practical application of AI technologies — from traditional backend systems to modern LLM-based solutions. He combines engineering precision with an analytical approach to problem-solving, always balancing complexity, maintainability, and real business value.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. Particularly interested in AI agents, RAG systems, and the practical use of artificial intelligence in production environments — with a strong focus on identifying 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 classical software engineering practices with the new wave of LLM-based tools, you’re in the right place.
Data & AI