Rajat Sen
Research Scientist
- Role
- Senior Research Scientist at Google
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Rajat Sen
I am a Research Scientist at Google. I work on time-series forecasting in general, currently excited about creating Gen AI foundation models for the time-series modality. Our work on long-term forecasting is used in GCP to serve enterprise customers who are interested in fast, scalable and accurate demand forecasting for different horizon sizes. I am also interested in online learning, robustification of ML algorithms and deep learning practice+theory in general.I was an Applied Scientist at Amazon Search till November 2020. At Amazon, I was a part of team MIDAS lead by Inderjit Dhillon where I was fortunate to collaborate with Sujay Sanghavi, Arya Mazumdar, Alexander Rakhlin and Lexing Ying. I worked on various topics including extreme multi-label learning for search and contextual bandit problems with enormous number of arms.I obtained my PhD. at UT Austin, where I was lucky to be advised by Dr. Sanjay Shakkottai. During my time at UT Austin, I have also had the pleasure of working with Dr. Alex Dimakis.More info at: https://rajatsen91.github.io/
Experience
Senior Research Scientist
May 2023 — Present · Mountain View, CA, US
Education
The University of Texas at Austin
Masters and Phd, Machine Learning
2013 — 2018
Indian Institute of Technology, Kharagpur
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering
2009 — 2013
Indian Institute of Technology, Kharagpur
B. Tech, electronics
2009 — 2013
Skills
- Verilog
- Pspice
- Python
- Algorithm Design
- Communication Systems
- Automata
- C++ Language
- Matlab
- Convex Optimization
- Algorithms
- Orcad Capture Cis
- Optical Network Design
- Machine Learning
- C
- Programming
- Microsoft Office
- C++
- Linux
- Data Structures
- Probability Theory
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