Summary
Karan Tanwar is a data scientist with eight years of engineering experience building ML-driven products, currently strengthening Meesho’s Fraud AI stack with scalable PyTorch and PySpark deployments. He brings production-grade ML and systems experience from Amazon, where he worked on international machine learning projects and developed a feature-ranking algorithm that improved ROC-AUC/PRAUC for large, attribute-rich datasets. An IIT Delhi graduate and former graduate teaching assistant for a fundamentals of machine learning course, he blends strong academic foundations with practical full-stack and cloud skills gained across internships and platform roles. Karan has a track record of reducing operational load (e.g., S3-backed API optimizations) and shipping explainable, efficient models using tools like Vowpal Wabbit, emphasizing cross-functional collaboration and measurable business impact.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)