About Me
On building and thinking
Bio
I build AI systems that serve real needs—not impressive demos. My background is strange: economics, bartending through grad school, now building production ML at scale. Turns out reading people and reading data aren't that different.
I work across modalities—video, audio, text, spatial reasoning. The best solutions come from understanding actual problems, not filtered requirements. Strategic laziness as a design principle.
"Ship early. Build systems that heal themselves. Do less, but do it extraordinarily well."
The Journey
Transfer learning applies to careers, not just models. I started in economics, analyzing demand for plant-based meat. Bartending taught me more about human behavior than any algorithm. The path to AI was less pivot than natural evolution.
The best AI isn't the most powerful—it's what disappears into infrastructure. Quiet systems that just work.
Skills & Expertise
AI & Machine Learning
- Deep Learning (PyTorch, CUDA)
- LLMs (GPT, Llama, Gemini, Claude, Mistral)
- Computer Vision
- NLP (BERT, text classification, NER)
- Recommendation Systems
- MLOps (MLflow, A/B testing)
Infrastructure
- AWS (extensive)
- GCP (Vertex AI)
- Azure
- Docker
- Kubernetes
- Microservices
Programming
- Python
- TypeScript/React
- Rust
- SQL (23+ dialects)
- Go
- Bash
Focus Areas
- Production ML Systems
- Multimodal AI
- Enterprise AI Solutions
- Technical Leadership
Get In Touch
Open to discussing real problems that need solving.