Collaborated with MLH leadership to design and launch a Meta-sponsored Production Engineering Hackathon that attracted 1.5K registrations, 621 attendees, and 115 teams.

• Designed a roadmap-based technical program covering deployment automation, observability, scalability, and reliability engineering

• Built participant tooling and guidance to support teams in navigating challenges and applying production engineering concepts

• Developed an achievement and verification framework to assess applied understanding of PE/SRE principles

• Shaped event programming and participant experience, including speaking during the first day of the event

Data Infrastructure - Storage Reliability, Throttling Safety, and Test Tooling

Modernized attendance processing/recording for judiciary events (10–20 events/year; 500–800 records/event) by replacing manual, long processes with automation and a pilot tablet app. Focused on data quality, reliability, and an easy operator experience.

* Built an asynchronous Node.js pipeline to validate CSV/JSON, log invalid entries with reason codes, and post clean records to a case management system, saving 4–5+ hours per event.

* Developed a tablet app for QR-based check-ins, building in duplicate prevention, offline storing (200+ records retained), and direct device uploads, removing the previous expensive record aggregation after events.

* Added data‑integrity and access controls: atomic file updates (temp write → rename) to avoid corruption on failure, and password‑gated admin actions for deletes/uploads.

* Verified secure API endpoints and downstream correctness with Postman; achieved 100% success across validated endpoints.

* Participated in Scrum and cross-functional reviews; iterated UI based on stakeholder feedback and produced documentation/runbooks.

Production Engineering fellow at Meta through MLH Fellowship. Developing and deploying web applications using Flask, MySQL, and Docker. Implementing automation scripts with Bash. Configuring NGINX for reverse proxy and rate limiting. Configured custom server and container monitoring, alerting, and visualization solutions with Grafana and Prometheus. Gaining hands-on experience in server administration, database management, and containerization techniques.