Sudeep Salgia
Researcher at Meta
Burlingame, California, United States
Summary
👤
Senior🎓
Top SchoolSudeep Salgia is a research scientist with 11 years of experience blending theoretical rigor and practical ML, currently a Researcher at Meta after postdoctoral work at CMU and a PhD from Cornell. His work spans resource-aware reinforcement learning, federated learning, differential privacy, and large-scale stochastic optimization, with 15 publications including oral presentation of Federated Q-learning at NeurIPS 2024 and a COLT-open-resolution via ICML 2023 Bayesian optimization work. He builds fair, personalized multi-agent policies and multi-task RLHF pipelines for LLM fine-tuning, emphasizing deployable methods under resource constraints. An IIT Bombay silver medalist who has led student technical programs and mentored disadvantaged students, he pairs strong academic impact with practical mentorship and organizational leadership.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology BombayDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Cornell UniversityCambridge SchoolProgramming languages (1)
Github contributions (5)
sudeepsalgia/ImageProcessing
Jan 2017 - Mar 2017
Contributions:14 commits, 12 pushes, 1 branch in 1 month
sudeepsalgia/sudeepsalgia.github.io
Jun 2018 - Nov 2021
Contributions:140 commits, 3 PRs, 130 pushes in 3 years 5 months
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