Tanmay Gangwani
Principal Applied Scientist at Microsoft
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolTanmay Gangwani is a Principal Applied Scientist based in Seattle with 12 years of experience building large-scale, production ML systems and collaborative AI agents, currently focused on intelligent experiences in Microsoft Teams. He previously led personalized search, ranking, and recommendation efforts at Amazon, applying post-training LLM techniques and multi-objective learning-to-rank at scale. Tanmay holds a Ph.D. from UIUC where he developed applied reinforcement learning and imitation learning algorithms, and his background spans computer architecture to compilers from an earlier MS and industry work on many-core and GPU simulation. He blends deep research rigor with product-focused engineering—having moved ideas from academic papers and internships (Uber AI, D-Wave) into deployed systems—and often tackles robustness and long-horizon modeling challenges that others avoid.
12 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology KanpurDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-ChampaignHigh school, High school at BBPS New Delhi
Github Skills (35)
nlp8
deep-reinforcement-learning8
partial8
vision-and-language8
reinforcement-learning8
language-understanding8
multimodal-deep-learning8
pre-trained-model8
pytorch7
multimodal7
language-modeling7
deep-learning7
sentence-similarity7
foundation-models7
redundancy7
Programming languages (3)
Github contributions (5)
tgangwani/SelfImitationDiverse
May 2019 - Nov 2020
Contributions:4 commits, 1 push in 1 year 7 months
tgangwani/Zorro_SMPC
Nov 2016 - Dec 2018
Contributions:15 commits, 13 pushes in 2 years
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