Summary
Charumathi Badrinath is a software engineer with nine years of experience combining rigorous academic research and production engineering, currently building software at Palantir in New York. A Harvard magna cum laude graduate with MS and BA-level work in computer science and statistics, she has published research on generative model latent spaces and chain-of-thought prompting accepted to multiple ICML workshops. Her background spans backend systems, full‑stack applications, and performance tuning—she delivered a 33% speedup in C++ at Five Rings and large latency improvements via Elasticsearch caching at Two Sigma. She has taught introductory ML and probability courses, built interactive bioinformatics visualizations at Memorial Sloan Kettering, and developed security-scanning serverless tooling for cloud deployments. Known for translating research insights into deployable systems, she brings both strong engineering craft and empirical curiosity to ML-driven products.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Harvard University
High School Diploma, High School Diploma at Rye Country Day School
English, Tamil, Spanish