AI systems and cloud infrastructure engineer
I build practical AI applications and the cloud systems that run them. My work covers model usage tracking, voice agents, private LLM deployments, Azure Virtual Desktop, and secure application hosting.
Substacker · AI cost intelligence
An open-source FastAPI application that attributes LLM usage and cost by team, project, and model. It accepts provider usage CSVs and live traffic from its Python SDK, then reports waste patterns and spend anomalies. The repository includes setup instructions, tests, and CI. View the live application.
Scope Shrinker · voice agent prototype
An archived hackathon prototype using Gemini Live to turn a spoken product discussion into a structured technical scope. The code is public for review; it is not presented as a maintained product.
My Fiverr portfolio includes Azure Virtual Desktop and private LLM infrastructure examples. I keep client code and data private.
AI: Python, FastAPI, OpenAI and Gemini APIs, RAG, vector search, model monitoring
Cloud: Azure Virtual Desktop, FSLogix, Entra ID, AWS, Google Cloud, Docker, Linux
Applications: TypeScript, Node.js, PostgreSQL, WebSockets, GitHub Actions