Gargi Balasubramaniam
Research Engineer at Google DeepMind
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolGargi Balasubramaniam is a Senior Research Engineer based in Mountain View with nine years of experience building and researching scalable machine learning systems, currently at Google DeepMind. She holds an MS in Computer Science from UIUC and has a publication track in transfer learning and multimodal ML, including NeurIPS and JMLR workshop contributions. Her background spans industry and academia—roles at DeepMind, Amazon (ICML '24 work on text diffusion), Meta Reality Labs, Microsoft, and research internships in Europe—bridging applied research and production engineering. Gargi’s work focuses on model reliability, multitask learning, and modality selection, and she’s delivered practical systems as well as peer-reviewed methods for distribution shift and invariant feature recovery. Outside of papers, she maintains a technical portfolio (bgargi.github.io) that surfaces both research and engineering projects, reflecting a rare mix of rigorous theory and production impact.
9 years of coding experience
3 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMasters of Science, Computer Science, Masters of Science, Computer Science at University of Illinois Urbana-Champaign
Github Skills (5)
mongoose8
concurrent7
mongodb5
nodejs5
storage4
Programming languages (4)
Github contributions (5)
bgargi/bgargi.github.io
Jul 2019 - Sep 2020
Contributions:24 pushes, 1 branch in 1 year 2 months
bgargi/Neural-Network-Assignments
Feb 2019 - Oct 2019
Contributions:2 PRs, 2 pushes in 7 months
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