Summary
Pratik Kabra is a software engineer with 12 years of experience building large-scale consumer and ads systems at Meta, Google, and Apple, currently based in Mountain View. He has driven measurable product improvements—such as a 14% increase in queries/day and 40% latency reduction on Google Assistant media experiences—and led ML ranking and deep retrieval efforts for multimedia content. At Apple he optimized bid-recommendation pipelines using GPU-accelerated GBDT and Parquet to cut pipeline time by ~80%, and earlier produced production two-factor auth integrations at PayPal as a top-10 intern. A strong academic performer (top of his VIT CS class, MS at USC, exchange at Ryerson) with publications in social media mining and a Kaggle top-10% finish, he also contributes to open-source (notably to the Python Faker project). Known for combining practical system design with ML-driven ranking and retrieval, he often surfaces non-obvious product headroom through data-driven dashboards and analysis.
12 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Computer Science, 3.825 / 4, Master of Science (MS), Computer Science, 3.825 / 4 at University of Southern California
Bachelor of Technology (B.Tech.), Computer Engineering, 9.76 / 10, Bachelor of Technology (B.Tech.), Computer Engineering, 9.76 / 10 at Vishwakarma Institute Of Technology
SSC, SSC at Enzo-Chem Highschool
Toronto Metropolitan University
English, Hindi, Marathi