What I Do
Building Production Systems
From enterprise infrastructure and SSAI pipelines to AI platforms and multi-agent systems — building software that runs in production and stays reliable.
Full-Stack, Enterprise-Tested
I've worked across the entire stack at companies like FreeWheel and Charter — designing database schemas, building API architectures, deploying to Linux servers, and maintaining the kind of systems that process millions of ad impressions daily. Understanding how every layer connects is what separates code that works from systems that scale.
Now that work extends into AI systems. I build the same way — clean architecture, well-defined boundaries, thorough documentation — whether I'm standing up a Flask web application, designing a RAG pipeline, or wiring up a suite of MCP servers that give LLMs real-time access to enterprise data. Maintainability matters especially in AI, where the pace of change is relentless.
I've automated enterprise reporting with Python and pandas, built diagnostic tooling that became a go-to resource across engineering teams, and now I architect AI services on dedicated GPU hardware. The common thread is building tools that people actually rely on.
Core Capabilities
AI Platform Development & Multi-Agent Systems
RAG Pipelines & Vector Databases (ChromaDB)
Python Engineering (FastAPI, Flask, LangChain)
API Design & LLM Provider Integration (OpenAI, Anthropic)
Infrastructure & Deployment (Linux, Docker, CI/CD, GPU)
Enterprise Tooling & Automation (pandas, SQL, Bash)
Tech Stack
Languages
Python (primary), JS/TS, SQL, Bash, C/C++
AI & LLMs
LangChain, MCP, ChromaDB, OpenAI, Anthropic
Frameworks
FastAPI, Flask, React, Next.js, Tailwind CSS
Data
PostgreSQL, SQLite, pandas, vector DBs
Infrastructure
Linux, Docker, Git, CI/CD, NVIDIA GPU
Dev Tools
Claude Code, Cursor, GitHub Copilot, LM Studio