Building systems that learn and scale.

I'm Dhairya, a Software Engineer and ML Researcher deeply fascinated by the intersection of distributed computing and artificial intelligence. My journey started with a simple curiosity about how machines understand the world, which eventually led me to NYU Courant to dive deep into AI.

Over the last 6+ years, I've had the privilege of building pipelines that serve millions at companies like CVS Health and Aetna. But beyond the sheer scale, what I truly care about is reliability and impact. I believe that the best ML architectures are those invisible to the user—quietly fast, undeniably robust, and gracefully degrading when the unexpected happens.

When I'm not orchestrating cloud-native backfills or fine-tuning language models, you can find me exploring new coffee shops, reading up on the latest multi-agent world models, or simply walking my dog while thinking through an architecture problem.