Builder | Explorer | Chronic Experimenter
I spent years deep in Data Science and A/B Testing, obsessing over statistics and user behavior. Now, I’m applying that experimental DNA to the AI space to build systems that actually solve problems.
This profile is a collection of projects built for fun and learning. I’m a builder by nature—I build because I’m curious, and I use my background in data to validate whether what I’ve built is actually useful or just a good theory.
Current experiments and highlighted work.
| Project | The "Why" | Tech Stack |
|---|---|---|
| context-kit | Active Development. Bridging the gap between AI agents and project context. | Go, Git |
| openwebui-tools | OpenWebUI Tools and features for workflows (> 1k downloads on community) | Pyhon, OpenWebUI, FOSS |
| go-google-mcp | Having some fun w/ Go and MCP by connecting AI to the Google ecosystem. | Go, MCP, Google API |
| goAgent | A lean, bare-bones AI agent framework focused on tool-use patterns. Just trying go out | Go, LLMs |
| datathon-mlops | A reminder of my data roots by building robust ML pipelines. | Python, MLOps |
The Data Foundation Years of experience in measurement and research.
- A/B Testing & Statistics: I test and measure a lot of stuff on my life and on my work. My DNA is built on statistical validation.
- Python: My native tongue for ML, data engineering, and rapid prototyping.
- SQL: Fluent in data extraction, transformation, and large-scale analysis.
The Builder Frontier Moving into AI and systems programming.
- AI Agents: Designing autonomous systems focused on reliability and context. Must for my personal use or exploration.
- Go: Learning it because it’s fast and powerful for building robust system utilities.
- CLI & Automation: I live in the terminal. If I can't script it, I probably don't want to do it.
- Curiosity: "I wonder if I can build X or automate Y..."
- Panic: "I have absolutely no idea how to build X."
- Action: Dive into documentation, write bad code, ask claude and figure it out by doing.
- Obsession: Spend the next couple of weeks thinking about nothing else.
- Ship: It's built. Repeat the cycle.
- Test Everything: I like to try new things and see how they perform.
- Always Learning: If I haven't broken it yet, I haven't learned it.
- Open to Chaos: Most of this is experimental work!
I'm always down to talk about AI architecture, data experiments, or building cool stuff.
Built with curiosity, data, and a healthy dose of trial and error.