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
Contributions:1 PR, 62 pushes, 1 branch in 3 months
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