Resume
Summary
Kinjal Basu
AI Researcher with 6+ years of experience, focusing on responsible AI, large-scale optimization, and causal inference on networks.
Education
Ph.D. in Statistics
2012 - 2016
Stanford University, Stanford, CA
Dissertation on Quasi-Monte Carlo Methods in Non-Cubical Spaces
Ingram Olkin Interdesciplinary Disseration Award 2016
Master of Statistics (M. Stat)
2010 - 2012
Indian Statistical Institute, Kolkata, India
Specializing in Mathematical Statistics and Probability with a thesis on estimating of circular probability distributions via spectral isomorphisms
Bachelor of Statistics (B. Stat (Hons))
2007 - 2010
Indian Statistical Institute, Kolkata, India
Professional Experience
Senior Staff Software Engineer - ML & AI
March 2021 - Feb 2023
LinkedIn, Sunnyvale, CA
Tech lead of Responsible AI. Oversees all efforts on Fairness, Explainability and Privacy in AI across all AI-drivern product verticals.
Staff Software Engineer - ML & AI
Oct. 2018 - March 2021
LinkedIn, Sunnyvale, CA
Tech lead for Fairness in AI and large-scale optimization efforts. Chief architect and designer for internal AutoML library.
Senior Software Engineer - ML & AI
June 2017 - Sep. 2018
LinkedIn, Sunnyvale, CA
Worked on large-scale optimization problems with focus on global Bayesian optimization, AutoML strategies and constrained portfolio selection.
Software Engineer - ML & AI
July 2016 - June 2017
LinkedIn, Sunnyvale, CA
Worked on predictive modeling, statistical learning in recommendation systems such as News Feed Ranking and People You May Know (PYMK).