Summary
Shwetanshu Singh is a Senior Machine Learning Engineer with 11 years of experience who blends rigorous academic training (MS in Data Science from NYU) with hands-on impact across startups, research labs, and nonprofits. He has built production ML systems—from large-scale NLP research at The New York Times to multi-agent healthcare solutions at a Fortune 500 via Quantiphi—and has deep experience with data pipelines, probabilistic predictive modeling, and prescriptive feature engineering. Early roles scaling education data at Akshara Foundation and volunteering with DataKind show his ability to turn messy social-sector data into actionable dashboards and policy-facing insights. Comfortable across the stack, he pairs Python and big-data tooling with product sensibility to deliver enterprise-grade solutions and mentor teams. Notably, he has operated and maintained heavy research infrastructure (∼300 cores, 150+TB) while publishing academic work, reflecting a rare blend of operational rigor and research fluency.
10 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer and Communication Engineering, Bachelor’s Degree, Computer and Communication Engineering at Manipal Institute of Technology
Master's degree, Data Science, Master's degree, Data Science at NYU Center for Data Science
English, Hindi, French