Control Labs ML Launcher: Developed a custom ML launcher for the Neural Interfaces org, to configure, train, deploy, and interactively experiment with AI models across several teams. This consolidated the experience of several workflows with up to 10x faster startup times.
TorchX Universal PyTorch Job Manager: Consolidated multiple legacy ML model training workflows into common infra powered by TorchX. I led this migration and also landed multiple improvements, including faster runtime performance, logging capabilities, and better data validation. My system is used by hundreds of Meta engineers in both Ads and Instagram ranking.
OverlayFS-powered Build Accelerator: Created a new build system with novel intelligent caching algorithm and virtual filesystem support cutting build times by over 60%, from minutes to seconds. I worked across 4+ teams to land this system, saving them 300+ engineer-hours per week.
Content Addressed Filesystem Merge: Developed a new package format for distributed jobs, cutting package upload time by 90%, from 2 minutes to 12 seconds, by representing packages as collections of network pointers.
Mentoring & Tech Leadership: Provided technical mentorship to five engineers and two interns on projects in remote debugging, dependency management, AI training reproducibility, and lazy preprocessing optimizations. These projects saved 40+ engineer-hours per day and cut build breakage frequency from once per month to zero.
