Summary
Dibya Chakravorty is an Artificial Intelligence Researcher and Python generalist with 11 years of experience building ML-driven systems, production cloud architectures, and test automation across finance, pharma, and automotive clients. Currently focused on agentic reinforcement learning and the ARC-AGI-2 benchmark at Pivotools, he connects foundational AI research (continual learning, open-endedness, multi-agent systems) with pragmatic, auditable automation solutions for organizations. He has led AI and cloud architecture efforts deploying fault-tolerant, cost-optimized systems on AWS and Azure, and driven AI productization like invoice extraction and news agents in regulated industries. An experienced educator, he has taught practical deep RL and ML quality assurance to thousands of learners and maintains a popular Python books directory that reaches ~10k monthly visitors. Based in Munich, he also co-organizes the Munich AGI Meetup and Munich Python Meetup, blending community building with long-term research pursuits. Notably, his background in theoretical physics informs a rigorous, model-driven approach to hard ML problems and benchmark-driven evaluation.
11 years of coding experience
Master of Science (MS), Theoretical and Mathematical Physics, Master of Science (MS), Theoretical and Mathematical Physics at Indian Institute of Science Education & Research (IISER), Kolkata
High School, Science and Technology, High School, Science and Technology at Patha Bhavan
English, Bengali, Hindi, German