Product Engineer · Austin, TX

Building AI for real people.

I build AI-native products that solve real problems — and I help others adapt to AI before it leaves them behind.

A second brain for public school teachers.

Teachers spend more time on paperwork and compliance than they do on the thing they showed up to do — teach. I'm building an AI-powered system that changes that: a tool that handles the busy work so teachers can get back to their students.

This is what I believe product engineering looks like today — not just shipping features, but using AI to reshape workflows that have been broken for decades.

Agentic AI Python RAG EdTech

Products I've built.

Each project starts with a real problem and ends with something that actually works.

Product Engineering · Solution Tree

AI PLC Coach

An agentic RAG system that helps educators navigate professional learning community frameworks — retrieving the right guidance at the right moment.

Agentic RAG TypeScript EdTech

Full product is private / internal

Side Project

AI SoftSkills Tutor

An AI tutor focused on the skills automation can't replace — communication, adaptability, and critical thinking.

Python NLP AI Tutoring

Building AI with educators, for education.

I bring experience in education, product engineering, and technical advising to talks and hands-on workshops that help educators and teams understand AI, build useful tools, and make informed decisions.

For teachers and education leaders, as well as organizations and teams building products for education.

Each session is shaped around your use case and needs, whether that means exploring an idea, developing a plan, or building a prototype.

Book a talk or workshop

Sessions can be in English or Spanish.

  • 01

    From Classroom Problem to AI Tool

    How educators can turn a real teaching need into a useful AI tool, starting with the problem and shaping an approach that fits their classroom.

  • 02

    AI That Supports Teachers’ Judgment

    Practical ways to use AI for planning, organizing information, and tracking learning while keeping educators responsible for decisions.

  • 03

    Product Engineering: Build What People Will Use

    How observing users, understanding their pain points, and testing ideas with them can turn a real need into a product that fits their daily work.

  • 04

    From AI Pilot to Everyday School Practice

    How education leaders can identify a useful starting point, support teachers, and evaluate whether an AI tool fits the way their school works.

  • 05

    Learning to Build With AI Without Outsourcing Your Thinking

    How to ask better questions, check evidence, test assumptions, and retain ownership of your work when building with AI.