• Developed a framework to import capacity metrics into feature launch tracking tooling, enhancing flexibility and adoption.

• Implemented automation and validation processes to reduce the risk of errors in capacity metrics.

• Created tooling to collect and attribute storage usage metrics for ML features to specific tenants.

* Database benchmarking and load testing tool (**C++**, **Protobuf**, **Perfgate**, **streamz**):

* Created tooling to automate routine tasks to simplify benchmark creation (**Python**, **Blaze**, **Buildozer**).

* Implemented metrics to track benchmark tool usage patterns to get better insights on what users experience most trouble with (**C++**, **streamz**).

* Spanner:

* Created service to analyze PR CI test results to identify flaky tests and provide users insights on which test failures to work on (**C++**, **Protobuf**, **gRPC**, **Spanner**, **SQL**, **Blaze**).

* Created service and dashboard to track and cluster code sanitizer failures to reduce toil for build triage and streamline fixing sanitizer issues (**C++**, **Spanner**, **SQL**, **Blaze**).

• Developed a ROS module to efficiently compress images using H.264 hardware encoder on NVidia GPUs.

• Rebuilt CI infrastructure for scaling on Amazon EC2, significantly reducing build and test times.

• Implemented various infrastructure improvements to enhance overall system performance.

• Developed tools and a GUI editor to migrate navigation maps, enhancing algorithm development for the motion planning team.

• Implemented point-to-point routing and arrival logic, including curb maneuvers, utilizing advanced computational geometry techniques.

• Refactored motion planning algorithms and introduced unit tests, significantly improving team confidence in algorithm modifications.

Software Engineer building next level datacenter networking automation. Designed and implemented multiple key components, including in-house graph database & search engine.

Linux, C++, Python, Docker.

Graph database & search engine - data storage and processing layer for the entire system. Key feature of this database is support for search results update notifications which is not supported by any existing graph database (multiple patents pending).