Developed web services to support multiple use cases around candidate profiling, engagement, and various types of users (Sourceress’s raters, writers, recruiters and hiring managers)

Automated email sending to candidates at different stages in the hiring pipeline

Built out external integrations with applicant tracking systems (Greenhouse, Lever, etc.)

We followed a fast iterative practice and built with AWS, Terraform, CircleCI, Python/Django, Typescript, React.

Built end-to-end spam fighting and user protection features for Gmail and Gmail on Android.

Trained, evaluated and deployed ML models. Built model experimentation and productionization pipelines.

Analyzed and improved email feature vector for the purpose of spam and phishing detection.

Worked cross-functionally on Gmail Android to design and build safety features such as usage stats collection, smart suggestive actions — these features reach 1M+ usage count daily.

Worked with C++, Python, BigTable, and a suite of internal tools for data collection / processing / visualization.

Gathered runtime information of all pipeline test runs and analyze their performance based on passing ratio, number of timeouts, memory usage.

Leveraged data from prior test runs to suggest personalized runtime limits for client development teams. This greatly reduced the CPU resource usage for their test & build phases.

Worked with Java, Ruby, AWS build & deploy pipelines.