Summary
Jakub Gil is a Chief AI Officer and hands-on AI engineer with 5+ years building production-grade autonomous agents, RAG systems, and computer vision pipelines across startups and decentralized networks. He has led AI teams from strategy to deployment—designing multi-agent orchestration, FAISS/Elasticsearch-backed retrieval, and scalable model serving with FastAPI, Docker, Kubernetes and GitOps. Jakub combines applied ML (YOLO/Detectron2, Transformers, LightGBM/CatBoost) with systems thinking, having moved prototypes into production and improved e-commerce cross-sell performance through multimodal models. He also co-founded an AI marketing automation startup that applied autonomous agents for campaign planning and real-time engagement, showing product-first engineering instincts. Comfortable translating complex ML concepts for non-technical stakeholders, he has a quantitative academic background (SGH, AGH) and deep practical experience in building data pipelines, visual search, and topic/sentiment modules for community platforms. Notably, he bridges research and ops by authoring rapid Streamlit proofs-of-concept and deploying robust APIs for decentralized AI ecosystems.
5 years of coding experience
5 years of employment as a software developer
Engineer's degree Mechanical Engineering, Engineer's degree Mechanical Engineering at AGH University of Krakow
Master's degree Quantitative Methods in Economics and Information Systems, Master's degree Quantitative Methods in Economics and Information Systems at SGH Warsaw School of Economics
English, German, Japanese, Polish