Summary
Nandu Jayakumar is a seasoned engineering leader and hands-on builder with 15+ years driving large-scale data, infrastructure, and AI initiatives across Meta, LinkedIn, Visa, Oracle, and startups. He has repeatedly delivered measurable efficiency and scale—most notably >30% fleet efficiency gains at Meta and multi-fold data platform growth at Visa—while leading orgs of tens to hundreds of engineers. Currently on a technical sabbatical, he’s building a privacy-first, reliability-first personal intelligence system that applies production-grade guardrails, auditability, and tiered privilege models to agentic AI. Comfortable at the intersection of product and platform, he scales forecasting, autoscaling, and cost-aware engineering practices for thousands of developers. His background blends deep systems engineering, cloud and big-data migrations, and applied AI/ML, plus hands-on startup rebuilding experience. Based in the Bay Area with MS from Stanford, he pairs enterprise-scale execution with a maker’s curiosity for building trustworthy personal AI.
15 years of coding experience
23 years of employment as a software developer
SIE Entrepreneurship, SIE Entrepreneurship at Stanford University Graduate School of Business
Bengaluru University
Master of Science Computer Science, Master of Science Computer Science at Stanford University
English, Hindi, Kannada, Tamil