Logesh Kumar Umapathi

Logesh Kumar Umapathi

Machine Learning Consultant

BLACKBOX.AI

Logesh Kumar Umapathi is a Machine learning Engineer at Blackbox.ai. His work focuses on building agentic systems and models that help automate software development and improve developer productivity. He has led the development of state-of-the-art software engineering agents, and his research has been widely cited by leading ML labs including OpenAI , Meta and Microsoft .His interests include Code generation LLMs , Reinforcement learning , Synthetic data generation with LLMs and alignment of code LLMs to Human preferences.

Beyond LLM and core agent work, he also speaks and demos applied AI: at DataHack Summit (DHS) 2025, he presented “From Language to Robotics” featuring a live robotic-arm demo that highlighted the convergence of LLMs and reinforcement learning for embodied systems. He was also recognized with Top AI Scientist award in Analytics Vidhya’s AV Luminary Awards at DHS 2025.

He writes and documents work publicly at logeshumapathi.com

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More