About

I'm Harish — an engineer who lives at the intersection of mathematics, systems, and machine learning. Right now, I'm at Verily building ML infrastructure for agent orchestration workflows and retrieval-augmented generation systems. My work focuses on coordinating multi-step reasoning across agents and enabling large language models to access the right medical context.

Before that, I spent a couple years at Apple building distributed systems for test execution across their device farm. My work ranged from designing demand-prediction algorithms to building a workflow engine (from scratch in Swift) to scaling infrastructure that supported roughly a few million tests a day.

I studied Mathematics and Computer Science at Duke University, where I got deep into abstract algebra, topology, and real analysis while simultaneously falling in love with machine learning. My research focused on training population-based reinforcement learning algorithms given multi-modal human feedback.

Outside of work, you'll find me getting humbled by the ocean 🏄‍♂️, exploring whatever city I'm in 🌆, and trying to convince myself that the proof really is trivial 👨‍🏫.

Get in touch: hyerra@alumni.duke.edu