Meta

Software Engineer I

Jan 2026 – Present

Workforce Management Products

  • Own and ship full-stack features end-to-end across Hack/PHP backend services, GraphQL APIs, Python data pipelines, and React frontends for an enterprise workforce management platform serving 80,000+ employees.
  • Orchestrated an agentic workflow with eval mechanisms to monitor test environment, classify errors, and route issues with suggested fixes to the appropriate engineers, reducing bugs reaching production by 40%.
  • Engineered approval automations in React and Hack for Meta’s org planning platform, reducing approval wait times from 55 to 2.7 hours per request and driving product adoption from 21% to over 60% in 2 months post-launch.
  • Built an AI-powered test generation pipeline with an automated feedback loop, lifting service coverage from 58% to 71% over 2 months and saving the QA team 10–12 hours/week of manual test writing.
  • Extended workforce management infrastructure to support a new class of 700+ retail employees, coordinating across 6 teams to update data ingestion pipelines, expand data sharding, and validate correctness end-to-end with zero regressions.
React.jsHack/PHPMercurialJavaScriptGraphQL

Software Engineer Intern

May 2025 – Aug 2025

Workforce Management Products

  • Engineered an automated tagging pipeline for 80,000+ employee positions, replacing a manual process of updating records with a system that supports both batch and streaming workflows to save 10 hours/week for HR personnel.
  • Optimized tag transactions to achieve an 80% latency reduction in tag processing speeds by streamlining tagging logic and leveraging a distributed scheduler for parallel job execution.
  • Maintained real-time synchronization and system-wide integrity of employee data across 50+ orgs by implementing an event-driven, asynchronous observer that detected position changes and triggered tag updates automatically.
  • Built an internal dashboard to monitor system health, track job execution statuses, and visualize service-level metrics, which reduced on-call escalations by 20% and enabled faster diagnosis and resolution of failures.
React.jsHack/PHPMercurialJavaScriptGraphQL