Nov 2021 – Jan 2025 · 3 yrs 2 mos · Remote

• Led the expansion of Secret Scanning across Issues, Pull Requests, and Discussions, scaling detection to millions of sources, preventing 135K+ secret leaks, and enhancing GitHub’s competitive differentiation as the most secure developer platform
• Reduced time-to-ship new scan sources to 1 month and cut engineering costs by 33% by designing a new scanning architecture, mentoring the team through implementation, and serving as the company-wide SME on non-git content scanning for security vulnerabilities

Jul 2020 – Nov 2021 · 1 yr 4 mos · Seattle, Washington, United States

• Increased fault tolerance of AWS internal services running at massive scale by developing a caching package that provides EC2 instance data, used across several AWS teams
• Minimized latency of EC2 Run-Instances API by optimizing validation logic of hibernate-compatible EC2 instances from linear to constant time, directly impacting millions of customers.
• Deployed a distributed canary workflow worldwide to test latest software releases for forward and backward hibernation compatibility and alarm/rollback on failures
• Minimized EC2 instance usage cost for EC2 hibernate team by 25% by optimizing resume-failed instances to terminate after uploading failure logs to storage buckets

Jun 2019 – Aug 2019 · 2 mos · Greater New York City Area

• Optimized the outdated risk hierarchy analysis process by developing an internal web app that compares hierarchical changes and reports business side-effects to users
• Streamlined data reconciliation process between Hadoop and a data warehouse by automating inconsistency detection and mapping changes through Hive queries

Feb 2019 – May 2019 · 3 mos · New York City Metropolitan Area

• Increased site usability by assisting in the development of large-scale, data-driven and responsive web applications
• Improved site reliability of the university-wide user portal through continuous testing and code-level optimizations
• Doubled user retention by designing and implementing intuitive UI from the ground up

May 2018 – May 2019 · 1 yr · New York City Metropolitan Area

• Minimized development time by over 30% by automating routine tasks, and fundamentally improved team workflow through reusable software design
• Reduced build cost by over 50% by eliminating reliance on expensive underwater hardware
• Increased navigational efficiency by feeding real-time sensor data into a feedback control loop to adjust for changing conditions