Data Science · Machine Learning · AI
I build practical AI solutions that help organizations extract real value from their data. From forecasting models to production ML pipelines — focused on impact, not hype.
Projects I've built and shipped
Thoughts on data science, ML engineering, and building things that work
In a 16-hour Fundamentals of Machine Learning course I trained a chest X-ray classifier in Teachable Machine in front of the students, gave it an interface with Google AI Studio, and later rebuilt it with Claude Code into a browser app that runs any Teachable Machine model.
Why the Olaia Labs landing page needed more than a contact form, and how a five-step readiness questionnaire became a lead tool that gives value before it asks for an email.
For a 15-hour introductory AI course for accountants I needed a realistic example, not a toy. Here is the n8n workflow that reads invoices from Gmail, including scanned ones, extracts the data with an LLM, files the PDF in the right client folder, and chases approvals by itself.
Whether it's consulting, training, or a collaboration — I'd love to hear about what you're building.