Rushikesh Yeole

Most of what I build today revolves around one question: How should AI model people?

That means building systems that construct rich, evolving models of people from behavioral signals, causal chains, and lived interactions, bringing the idea of world models to human understanding. That's what I'm obsessed with currently.

I didn't start there, though. I'm a CS undergrad who's spent a lot of time obsessing over hard problems until they become products. Along the way I've built a vaultless password manager that eliminated the risk of database exfiltration, a career intelligence platform that produced deterministic AI-powered career insights, and an RL hiring environment that exposed long-horizon AI reasoning gaps in frontier models.

Today, I'm building an AI-native personal intelligence product centered on evolving models of people built from behavior and lived interactions. Building it has pulled me deep into AI memory architectures, temporal knowledge graphs, and unsupervised ontologies.

Always happy to talk AI, systems, startups, or ambitious ideas. Reach out on X, LinkedIn, or via email.