Hello, my name is...
I apply systems thinking to build robust digital worlds. From scalable backend infrastructure to immersive game mechanics and autonomous agents, I create software that is efficient, intelligent, and accessible.
I focus on the brains of applications — scalable backends, data, and ML.
Scalable, resilient microservices and APIs.
Pragmatic ML systems: agents, RAG, vector search.
Pipelines, analytics, and data prep for ML.
Automation and reliability on AWS.
A few projects I've built, from ML products to full-stack applications.
A production-scale image similarity system for lost and found pets, designed to improve reunification outcomes.
An open-source closed-loop functional electrical stimulation system designed to restore walking capability for people with spinal cord injury, targeting under $2,000 in hardware costs.
I occasionally write about systems design, machine learning, and more.
A spinal cord injury is a permanent network partition. My paralysis taught me lessons about circuit breakers, cascading failures, and autonomous systems that changed how I design software.
After two years in a wheelchair, I'm designing an open-source FES walking system. The project has taught me more about latency, prediction, and graceful degradation than any distributed system I've built professionally.
Non-profits can move beyond simple chatbots by adopting PydanticAI, a type-safe Python framework for building reliable AI agents. This post explores two practical patterns: automated grant writing with feedback loops, and safe CRM data hygiene with human-in-the-loop approval.
I'm always up for discussing complex systems, agentic workflows, or the future of accessible tech. Got an interesting problem or just want to geek out? Drop me a line.