Portrait of Hiren Patel

Hiren Patel

Software Engineer, AI Infrastructure · Meta · New York

I build the systems that get AI models onto the right hardware and ship them to production safely.

At Meta I lead a fleet-wide GPU inference migration for the knowledge distillation models behind ads ranking: $4M/yr saved so far, $50M/yr at full scale. I also built the canary and auto-rollback system for those releases, which has stopped 21 bad rollouts with zero related incidents. Before Meta, I was a tech lead on identity infrastructure at AWS, and before that I built the deployment platform at Tesla.

Work

Meta

Feb 2024 – Present

Software Engineer, AI Infrastructure · Knowledge Distillation & AI Production Systems

  • Leading fleet-scale GPU inference migration for knowledge distillation models in an 84% over-subscribed accelerator fleet: $4M/yr realized, $12M/yr in flight, $50M/yr projected at full scale.
  • Fit models that used to need 4+ RDMA-equipped hosts onto cheaper non-RDMA hardware by combining CPU and SSD embedding offloading with multi-host partitioning, across NVIDIA H100/A100 and AMD MI350X/MI300X.
  • Designed and shipped a gang-level canary and automated-rollback system for KD inference releases, preventing 21 bad-package rollouts across 14 high-revenue models.
  • Own release reliability for 4,000+ production AI models. Raised release config-test coverage from 0% to 90%+ with simulator-based validation.

Amazon Web Services

Aug 2022 – Feb 2024

Software Engineer, Systems · New York

  • Tech lead for the enterprise SaaS-onboarding platform serving 1.6M Amazon employees, with event-driven user, group and permission sync handling 50M+ API calls a day.
  • Eliminated $25M+/yr in operational costs by automating hardware-failure detection and routing.

Tesla

Aug 2020 – Aug 2022

Software Engineer · Fremont

  • Designed and shipped TeamCI, a centralized deployment platform that replaced 1,000+ per-repo Jenkinsfiles across 4 regions, with self-service deploys and one-click rollback. Cut the deployment failure rate by 90%.

Focus

Education

B.S. Computer Science & Business Administration

Northeastern University