Menlo Park, California, United States
On-call engineer for PyTorch Edge AIBench, an automated benchmarking service measuring state-of-the-art AI model performance on battery-powered edge devices, including smartphones and XR prototypes.
Rapidly fixed and preempted service issues, ensuring AI teams met critical deadlines. Performed ad-hoc tasks such as flashing stable XR operating systems, detecting device memory leaks, and overseeing failsafe protocols.
Designed and implemented a load balancer to resolve device usage bottlenecks from large batch jobs on limited devices, guaranteeing availability for users during periods of high traffic and enhancing service availability.
Developed CI/CD pipelines using Chef and bash scripts, facilitating automated deployments across Linux, macOS, Android, and iOS systems and significantly improving development efficiency for AIBench and supported teams.