Kushagra Gupta
Applied Scientist at Faire
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKushagra Gupta is an applied scientist with eight years of experience applying statistical modeling and machine learning to real-world problems across chip design, ads, autonomous driving, and public health. A Stanford MS in Statistics and an IIT Kanpur math background ground his curiosity about how simple statistical ideas scale into sophisticated solutions, evidenced by JMLR and Bayesian Analysis publications. At Cadence he led R&D efforts automating chip design and earned internal High Impact and Rising Star awards; he now helps Faire grow its Ads team from 1 to 100. Industrial internships at Google, Nissan, and the World Bank demonstrate his ability to move prototypes into production and policy-relevant analysis alike. He has a track record of engineering performance-critical code (e.g., optimizing MCMC utilities during Google Summer of Code) and a knack for turning domain constraints into tractable ML solutions. Based in Palo Alto, he seeks challenging data science problems where statistics-driven simplicity unlocks complex systems.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology KanpurHigher Secondary Graduate Science and Mathematics, Higher Secondary Graduate Science and Mathematics at Delhi Public School JaipurMaster's degree Statistics, Master's degree Statistics at Stanford University
English, French
Github Skills (32)
markov8
markov-chain7
lifecycle7
crossword7
lightning7
pytorch7
artificial-intelligence7
jekyll7
machine-learning7
deep-learning7
monte-carlo7
python7
mcmc6
bayesian6
ai6
Programming languages (3)
Github contributions (5)
kushagragpt99/SocialCops
Feb 2019 - Feb 2019
Contributions:48 commits, 45 pushes, 1 branch in 1 day
kushagragpt99/satellite_image_segmentation
Dec 2018 - Mar 2020
Contributions:7 pushes, 1 branch in 1 year 2 months
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