• Led the design and development of the Kafka/gRPC integrations across four teams for tracking production-critical data on car batteries.• Built a system to sync the quality statuses of all Tesla-manufactured car batteries across factories, replacing a costly and error-prone manual process with a reliable automated one.• Created an end-to-end Docker-based test suite validating that production, scrap, and quality data are correctly reflected in Tesla's inventory system.• Triaged and resolved production issues impacting the factory lines. Developed monitoring and alerting for the factory execution systems, preventing factory downtime due to software issues.• Worked with Go, Typescript, React, gRPC, Kafka, Kubernetes, Docker, and PostgreSQL.

• Led a team of five backend engineers building high-visibility investing products which have over 500,000 users.• Directed a mission-critical project to validate all trades executed by Wealthfront’s systems ($30B+) and automatically halt trading in real time if needed.• Built a Typescript/React frontend tool that Wealthfront ops teams use for triaging and executing trades.• Built Socially Responsible Investments (SRI/ESG) platform in a compressed timeframe, encouraging users to put their money towards social good.• Fully rebuilt the process for users to reallocate their funds, which resolved several long-standing postmortems, and reduced latency by 31%. Carefully rolled out the new implementation with zero customer issues.• Collaborated with financial analysts to develop an industry-leading feature that advises clients on the riskiness of their investment choices.• Successfully mentored an intern who converted into full-time. Guided the intern through the development of a user-facing project which is still in prod today.

• Designed and developed a distributed system giving enterprise customers 150x the data storage for their end users.• Integrated AWS DynamoDB into the existing Java backend, which handles millions of users and thousands of requests per second.

• Improved accuracy of a facial recognition neural network by creating a novel fusion method for facial recognition and facial attribute recognition networks • Research paper was published as a conference paper at the 2nd International Conference on Data Intelligence and Security• Research won Judge's Choice Award at the Texas State University Math Graduate Expo 2018