Archit Sharma
Research Scientist at Google DeepMind
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolArchit Sharma is a research scientist at Google DeepMind with a decade of experience advancing deep RL and large-model research, currently working on post-training Gemini models. He completed a PhD at Stanford where he focused on deep reinforcement learning for large language models and generalist robots, and earlier served as an AI Resident at Google Brain. His trajectory includes research stints with Yoshua Bengio at MILA and foundational work in probabilistic ML from IIT Kanpur, reflecting strong theoretical grounding paired with production-oriented model development. Based in Palo Alto, he blends academic rigor with industry impact, and has a track record of turning ideas from synthetic gradients and discrete latent-variable training into practical research outcomes.
10 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology KanpurHigh School, High School at DAV Public School, Amritsar
Github Skills (20)
unsupervised-learning10
reinforcement-learning9
machine-learning9
generalization9
ai9
information-theory9
google9
python8
discovery8
dynamics8
stable-baselines7
differential-privacy7
deep-learning7
pytorch6
data-science6
Programming languages (3)
Github contributions (5)
architsharma97/VideoSummarization
Oct 2016 - Feb 2017
Contributions:81 commits, 3 PRs, 75 pushes in 4 months
pythonmachine-learningdata-science
architsharma97/MNIST
May 2017 - Aug 2017
Contributions:215 pushes, 1 branch in 2 months
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