Working closely with autonomous vehicles as part of Zoox’s System Integration and Validation team, focusing on ensuring reliability and performance of next-generation self-driving systems.

• Collaborate directly with hardware, software, and test engineers to validate system functionality across real-world and simulation environments.

• Use internal diagnostic and visualization tools like RiderDash, Overwatch, and FleetDash to monitor vehicle health, debug issues, and analyze performance metrics.

• Develop Python-based automation scripts and test pipelines to accelerate validation cycles and enhance system coverage.

• Contribute to the integration and verification of perception, compute, and communication modules, ensuring safe and stable on-road operation.

CMPE 258-01 (Deep Learning)

CMPE 255-01(Data Mining)

CMPE 258-01 (Deep Learning)

CMPE 260-01 (Reinforcement learning)

CMPE 258-02(Deep Learning)

CMPE 249 ( IA Systems)