Resume

Detailed CV

Summary

Kinjal Basu

AI Researcher with 4+ years of experience, focusing on large-scale optimization, fairness in AI 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

Staff Software Engineer - ML & AI

2018 - Present

LinkedIn, Sunnyvale, CA

Tech lead in the efforts for Fairness in AI. Oversees all the large-scale optimization efforts across different product verticals. Chief architect and designer for internal AutoML library which is used across Feed, Notifications, PYMK, Ads, etc.

Senior Software Engineer - ML & AI

2017 - 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

2016 - 2017

LinkedIn, Sunnyvale, CA

Worked on predictive modeling, statistical learning in recommendation systems News Feed Ranking and People You May Know (PYMK).

Research Intern

LinkedIn - Summmer 2014 & 2015
Deutsche Bank - Summer 2011