Media features, 13× awards, and approved speaker assets.

Jigyasa Grover is a Machine Learning Engineer at Uber leading global rider personalization and ranking, a 13x AI and Open Source award winner, Google Developer Advisory Board member, Google Developer Expert in AI/ML, LinkedIn Learning instructor (44,000+ learners), and co-author of Sculpting Data for ML.

Jigyasa Grover (pronounced jig-YAH-sah GROH-ver) is a San Francisco–based Machine Learning Engineer at Uber, serving as Tech Lead for rider personalization and ranking across 500+ cities. Previously, she led AI and Research at Bordo AI and built low-latency ML ranking, ads prediction, and feature infrastructure across Faire, Twitter (X), and Meta, following her M.S. in Computer Science (AI) at UC San Diego and selection to the Cornell, Maryland, Max Planck Pre-doctoral Research School (CMMRS). A 13-time award winner in AI and Open Source, she serves on the Google Developer Advisory Board (gDAB), holds Google Developer Expert (AI/ML) and Women Techmakers Ambassador recognition, and is a World Economic Forum Global Shaper. She co-authored Sculpting Data for ML (95+ citations), teaches 44,000+ learners across 4 LinkedIn Learning courses, delivers corporate AI training with Morgan Stanley, FedEx, Accenture, Roblox, Silicon Valley Security Group, and AI Aspire, has consulted or advised 30+ organizations through her independent practice Afterdays, and has delivered 200+ talks across 20+ countries—including the Google I/O main stage.