AI Systems Engineer | NVIDIA Hardware & Multi-Agent Orchestration | Python & AI Governance Expert
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I review AI-assisted or "vibe-coded" apps, identify bugs and broken user journeys, write a structured report, and implement priority fixes to get the product closer to launch. Includes QA notes, repro steps, severity ratings, fix recommendations, and hands-on fixes where needed.
I test core user flows end-to-end and document bugs with expected vs actual behavior, severity, screenshots/notes, and recommendations. Best for founders preparing demos, launches, investor reviews, or accelerator demo days.
I am an AI Systems Engineer with comprehensive expertise across the full AI stack. My hands-on experience ranges from building and repairing advanced NVIDIA DGX/HGX hardware, including A100 and H100 platforms, to designing sophisticated multi-agent orchestration systems capable of managing over 6,400 concurrent states. I've developed production-grade AI governance frameworks, fortified by 451 automated tests, ensuring robust enforcement across diverse platforms like Claude, Copilot, and Gemini. My technical proficiencies include advanced Python, Linux system administration, and distributed systems, alongside a strong foundation in security, validated by CompTIA Security+, Network+, and A+ certifications. I also have practical experience in smart contract vulnerability analysis, where I've identified issues in production blockchain protocols. I am adept at creating custom messaging protocols, centralized configuration systems, and advanced testing infrastructure to deliver high-quality, resilient AI solutions.