Paul Devlin Email & Phone Number

San Francisco, California, US

Austin, Texas, US

• 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.

Palo Alto, California, US

• 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.

Seattle, WA, US

• 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.

Arlington, TX, US

• 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