Streamlined demo and testing operations by creating admin interfaces, API access to the cloud, a fleet reservation system, and automated ride-hail issue triage.

Sped up container builds by 2-10x and eliminated the vast majority of unexpected build failures.

Rewrote the on-vehicle fleet dispatch and ride state module from Python to C++, while also modifying it to run asynchronously and use established internal communication frameworks.

Architected a new cloud-to-vehicle ride state information pipeline in an initiative-led project to modernize years-old legacy demo requirements and address longstanding development limitations.

Built a multi-component cross-team ride state integration test framework, reducing the reliance on physical vehicle and operator testing and drastically hastening development iteration time.

Enabled ride and fleet teams to define their own modular component requirements as well as run integrated regression tests.

Proposed and executed a full restructure of the cloud environment’s bootstrapping process, improving success rates and simplifying procedures for deploying features and fixes.

Reduced the downtime from large upgrades by a factor of three by overhauling and parallelizing the processes across various internal services.

Configured intrusion detection for customer data and internal files on Windows servers, assisting with SOC2 audit compliance.

Automated the migration of terabytes of on-premises customer document repositories into the cloud.

Converted existing SQL data sanitization queries from iterative updates to broad updates, reducing their collective runtime from hours to minutes.

Enhanced features and performance based on feedback from customer support.

Utilized Conduit objects as timing trees to analyze and record function performance across MPI threads.

Coordinated as a team of four and reported to a liaison and a professor on a weekly basis.