Summary
Chirag Maheshwari is a Staff Engineer and machine learning researcher with 13 years of experience building and shipping large-scale ML systems used by millions, currently focused on fraud detection at Sift. He combines deep research experience—from pathology image models published in Nature Communications to self-supervised learning—with pragmatic MLOps practice, having built platforms that run hundreds of thousands of workflows and handle 200M+ requests/day. Chirag excels at bridging research to production: he’s led migrations to Databricks and Argo, created drift-detection and debugging tools, and introduced ensemble and cohort modeling that measurably improved AUC and reduced error rates for enterprise customers. A hands-on leader, he mentors cross-functional teams, ran weekly forums that raised explainability and reliability, and won multiple internal hackathons for innovative fraud solutions. Based in Seattle, he also advises startups as an angel investor, bringing both product-scaling instincts and deep technical judgment to early-stage ventures.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.), Mathematics and Computer Science, Bachelor of Technology (B.Tech.), Mathematics and Computer Science at Indian Institute of Technology, Guwahati
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Senior Secondary, Science + Computer stream, Senior Secondary, Science + Computer stream at Somerville School NOIDA
English, Hindi