- Developed a new monitoring system for Google’s build and test ecosystem, analyzing over 2 petabytes of data per day from multiple systems to offer a latency SLO that couldn’t be reached before.- Reduced the latency of pull-request tests by 50%, saving over a year in total developer time per day.Reduced mean time to root cause latency regressions from 2-3 days to 1-2 hours, saving over $30,000,000 in developer productivity per year.- Optimized the data analysis to scale 150 times with the same compute resources, achieved through graph algorithm optimizations, database access pattern changes, and load balancing improvements.

- Optimized the build and test system used by 100,000+ developers to run 50+ million tests/day. Including everything from changing CPU throttling thresholds, to improving cache hit ratios, this is saving over $5,000,000 per year in compute costs.- Improved security and reliability by isolating user supplied executables (like tests) using Linux namespaces, while removing 20ms of overhead from each request.- Responded to and resolved production incidents which impacted the productivity of every Google engineer.

- Designed, implemented, launched, and maintained an internal HR API, called by over 300 internal apps, with an availability SLO of 99.9%.- Designed API patterns that are still being deployed, 10 years later, across more than 20 internal APIs.- Led and mentored a team of 6 recent hires, including 4 new grads, resulting in a 66% promotion rate.

- Led a team that created new web apps used by all hiring managers, interviewers, and hiring committees.- Created a testing framework that improved the speed of hundreds of tests by at least 80%.

Responsible for the Java development of a point-of-sale, inventory management, and business analysis software used by retailers and wholesalers.Designed a flexible method of creating business reports to shorten the amount of time it takes to implement new reports and to improve their appearance.