Indranil Bhattacharya
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolIndranil Bhattacharya is a Senior Applied Scientist with a decade of experience building production-scale ML solutions at Amazon, specializing in AutoML, robust positive-unlabeled learning, and target-aware active learning for catalog-scale problems. He blends strong theoretical foundations from IISc—where he developed stable feature selection and temporal Granger-causality techniques—with hands-on engineering to enable non-technical users to build, train, deploy, and maintain models over Amazon’s product catalog. His work spans CV and NLP, content/structure-based web document characterization, and practical systems for focused web crawling. Notably, he has a track record of turning research ideas (e.g., scalable BoPGD feature selection and lag-discovery in time series) into production-capable algorithms that emphasize stability and interpretability. Based in Seattle, he combines research rigor with product-minded execution to solve high-impact, large-scale ML problems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Indian Institute of Science (IISc)Nursery - (10+2) Biology/Biological Sciences General, Nursery - (10+2) Biology/Biological Sciences General at Nava NalandaBachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Institute of Engineering & Management, Kolkata
English, Hindi, Bengali
Github Skills (1)
testing2
Programming languages (1)
Github contributions (5)
MessianNil/GrangerCausality
Feb 2017 - Feb 2020
Contributions:7 commits, 6 pushes, 1 branch in 3 years
MessianNil/CommunityDetection
Apr 2016 - Apr 2016
Contributions:11 commits, 9 pushes, 2 branches in 1 day
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