Tanzu, Release Engineering Team• Implemented automation and process hardening of our delivery process, which allowed us to reduced engineering headcount for delivery by 50%, resulting in significant cost savings and efficiency gains.• Spearheaded the release train cadence improvement initiative, cutting down the release cycle from 5-6 weeks to under 1 week, drastically improving product update frequency.• Coached and mentored junior engineers on code quality, communication styles, and work habits, enhancing team productivity.• Consolidating multiple repositories into one which reduced code complexity from ~2000 lines to 300 lines, improving readability and maintainability.• Designed and developed a greenfield internal webapp, built using Ruby, providing a detailed visualization of the release train statuses and errors, improving the diagnostic capabilities and workflow management for the release train conductors.• Executed the integration of Github workflows with the Honeycomb service, establishing a new level of observability and real-time data analytics that improved the overall workflow error diagnostics and runtime metrics analysis.• Refactored and streamlined our Golang CLI tool for building platform tiles, enabling a more efficient and error-free experience.• Transformed critical CI system scripts from Bash to Ruby, driving improved maintainability and testing confidence through the introduction of a comprehensive suite of unit tests.

• Contributed to the automation of a big data orchestration platform that processes 100+ terabytes/ day, saving 8 hours of dev time each week.• Refactored, using TDD, a jungle of recursive SQL commands, where the redesign created a 60% decrease in query time.• Investigated and fixed numerous bugs in systems written in C#, TypeScript, React and U-SQL.

• Designed and implemented a time series analysis library, resulting in a substantial increase in visibility into service outages across Office 365 workloads.

• Integrated in-house ad management systems with the Google AdWords JavaScript API, which saved 10+ hours of analyst work-hours each week.