Rajat Sen
Senior Research Scientist at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRajat Sen is a Senior Research Scientist at Google with 11 years of experience building scalable ML systems for time-series forecasting and demand prediction. He leads work on generative AI foundation models for the time-series modality and productionized long-horizon forecasting used in GCP to serve enterprise customers. His background spans applied research at Amazon (search and extreme multi-label learning) and a PhD in machine learning from UT Austin, where he collaborated with leading theorists on online learning and robustification. Comfortable moving ideas from theory to production, he combines deep learning practice with formal insights and a track record of solving high-dimensional, large-arm contextual bandit problems. Based in the Bay Area, he maintains an academic curiosity alongside product-facing impact, often bridging foundational research with scalable engineering.
11 years of coding experience
7 years of employment as a software developer
Masters and Phd Machine Learning, Masters and Phd Machine Learning at The University of Texas at AustinBachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electrical Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
English, Bengali, Hindi
Stackoverflow
222reputation
10kreached
0answers
3questions
Github Skills (41)
transformers10
pytorch10
python10
machine-learning-models10
machine-learning10
time-series10
inference10
multimodal10
classifier10
llm10
linear-models10
audio10
time-series-forecasting10
deep-learning10
google10
Programming languages (2)
Github contributions (5)
rajatsen91/mimic_classify
Jun 2018 - May 2019
Contributions:28 commits, 29 pushes in 10 months
rajatsen91/CB_StochasticExperts
Feb 2018 - Jan 2020
Contributions:7 commits, 3 pushes in 1 year 11 months
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