Summary
Lovish Madaan is a machine learning researcher-engineer with nine years of experience building and scaling RL and large language model systems across industry research labs and startups. He completed a PhD at UCL while working on inference-efficient ML and helped scale reinforcement learning and models during pre-doctoral and research roles at Google Research and Meta (notably contributing to projects at Facebook Research). Now a Member of Technical Staff and founding-team engineer at Recursive, he blends deep research rigor with hands-on product delivery. His background spans applied ML in healthcare bandit problems, production ML at Level AI, and software internships at Microsoft, reflecting strong cross-domain adaptability. Based in London, he combines academic depth with startup velocity and is active on GitHub and a personal site that surfaces his research and projects. An uncommon strength is his ability to move ideas from theoretical RL formulations into scalable engineering implementations used in production research environments.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Class 12, CBSE, Class 12, CBSE at GEGS, Sangrur, Punjab
Class 10, CBSE, Class 10, CBSE at GGSPS, Sangrur, Punjab
University College London