# Resume Bullets

> Public release boundary: this repository documents engineering methodology, sanitized evidence references, benchmark interpretation, and executive reporting. GPUValidator is proprietary software. No source code, product internals, API contracts, database schemas, authentication/RBAC design, agent protocol, customer data, private URLs, secrets, or production screenshots are included.

## Senior AI Infrastructure Engineer Bullets

- Engineered a public-safe GPU benchmarking and validation case study for a RunPod A100 SXM environment, documenting Linux GPU validation, CUDA/NCCL runtime evidence, and NCCL collective methodology.
- Produced evidence-linked benchmark documentation with numeric claims restricted to sanitized public artifacts and methodology-only sections clearly labeled.
- Translated GPU infrastructure evidence into executive, customer, management, and interview-ready documentation while preserving proprietary platform boundaries.
- Designed a public/private documentation boundary for proprietary GPUValidator software, removing production screenshots and implementation-adjacent details before public release.
- Built recruiter-readable materials demonstrating Linux, HPC, CUDA, NCCL, GPU infrastructure, distributed systems, RunPod, performance engineering, system design, and enterprise reporting experience.

## Short Portfolio Bullet

- Built an enterprise GPU benchmarking and validation portfolio: RunPod A100 SXM lab, CUDA/NCCL evidence, NCCL AllReduce interpretation, executive reports, and public-safe proprietary boundary documentation.

## Skills Demonstrated

Linux, HPC, CUDA, NCCL, NVIDIA GPU infrastructure, RunPod, distributed systems, benchmark methodology, performance engineering, evidence collection, executive reporting, public documentation, IP protection.