Summary
Jaidev Shah is a Senior Research Engineer with eight years of experience building personalization, ranking, and recommendation systems across leading AI and product teams at DeepMind, Microsoft, Amazon, Meta, and Coinbase. A Columbia CS graduate and DSI scholar, he blends rigorous academic training with product-focused applied research, contributing to papers at RecSys, CIKM, and KDD and shipping ranking and LLM-powered search improvements at Bing. He’s comfortable moving models from prototype to production—work spanning GNNs, collaborative filtering, multimodal classification, and high-throughput data pipelines—and has led both research and engineering efforts for personalization at scale. Notably, he co-founded a blockchain startup from Columbia’s IBM accelerator and was a Microsoft Imagine Cup World Finalist, signaling an entrepreneurial streak alongside deep technical chops. Based in San Francisco, Jaidev pairs quantitative research instincts with hands-on MLOps experience to drive measurable user-facing impact.
8 years of coding experience
2 years of employment as a software developer
Stocklmeir Elementary
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia Engineering
Bachelor's degree Computer Science Applied Mathematics, Bachelor's degree Computer Science Applied Mathematics at Columbia University
High School Diploma, High School Diploma at Udgam School
Sanskrit, Hindi, Gujarati, English