Lead end-to-end system testing, bring-up, and validation for next-generation NVIDIA GB300 (Blackwell Ultra) rack-scale AI systems, ensuring rigorous reliability for high-density computing platforms.

Validate multi-layered systems involving complex hardware-software integration, including Arm-based Grace CPUs, high-speed NVLink/InfiniBand networking interconnects, and Baseboard Management Controllers (BMC).

Diagnose and debug system-level failures across the hardware/firmware boundary, utilizing telemetry tools and Linux-based diagnostic software to root-cause electrical, signal integrity, and communication anomalies.

Monitor and validate complex environmentals, including automated high-capacity direct liquid-cooling (DLC) infrastructures and rack-level power distribution units (PDUs) up to 140kW+.

Develop and execute automated test scripts (Python/Linux) to streamline system validation, stress-testing, and data collection, accelerating time-to-market for frontier AI factory infrastructure.

Kept america rolling

Implemented highly concurrent edge storage and background data processing pipelines using Kotlin and Java to handle persistent asynchronous state modifications.

Optimized memory management models, local query trees, and execution latency to minimize runtime resource overhead on edge hardware environments.

Wrote automated regressions and validation frameworks to verify deterministic state tracking and structural integrity across complex algorithmic components.