Ethan Hennenhoefer

Software Engineer / AI Engineer / Data Scientist

I build AI systems that automate real business processes, plus the websites, SaaS products, and mobile apps around them.

GitHub LinkedIn Email Resume · PDF

Open to new projects

Based in Austin, Texas

Local time 00:00

Currently Independent AI consultant

01

About

( Ethan )

Ethan Hennenhoefer standing in a sunlit brick archway

Ethan Hennenhoefer · fig. 01

I’m happiest when a process that used to take hours runs by itself.

I’m an AI consultant and software engineer. Most days you’ll find me wiring Claude into a business process that used to eat someone’s afternoon, or building the product around it: web apps, data pipelines, and mobile apps, end to end.

I like small teams, sharp scopes, and software that quietly earns its keep. If it saves an hour a day, it was worth building well.

Education
B.S. Information Technology, Data Analytics Track · Texas Tech University · May 2026
Coursework: Database Systems, Data Analytics, Predictive Modeling, Simulation & Optimization

02

Skills

( Toolbox )

03

Now

( Current )

Right now, I’m all in on AI.

I work as an independent AI consultant in Austin. I’m the embedded AI partner for a real estate brokerage, and I’ve consulted for teams at Capital Factory, Austin’s startup incubator, on AI adoption and workflow automation.

Around that, I’m getting the first Austin GenAI Meetup ready to host, building personal projects, and going deeper on AI engineering, safety, and privacy. Mostly, I just like making things.

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  • 01

    Client work

    Embedded automation for a real team: Claude agent skills and automated pipelines that turn hours of listing and marketing work into minutes, a custom MCP connector to live MLS data, and a social‑media web app that drafts, schedules, and posts listings automatically.

  • 02

    Community

    Co‑organizing the first Austin GenAI Meetup at Capital Factory: a hands‑on workshop where attendees build a working AI meeting‑brief agent. First event lands this month, then it becomes a regular thing.

  • 03

    Learning

    Going deeper on AI engineering, safety, and privacy, and what it takes to put AI into real companies responsibly.

  1. Step 1

    Map

    We sit with your team and find the hours that repeat every week.

  2. Step 2

    Automate

    I build the system, with Claude in the loop and humans handling the exceptions.

  3. Step 3

    Ship & run

    Your team gets a tool, not a slide deck. I stay until it sticks.

04

Selected Work

( 02 )

scribe-meets.vercel.app
Scribe mid-meeting: a live speaker-attributed transcript on the left, and a 10-item agenda on the right with six items checked off by Claude, each showing the quote that proves it was covered

Scribe

2026 · AI · Product

Scribe turns Google Meet captions into a live, speaker‑attributed transcript while Claude checks off the meeting agenda in real time, citing the quote that proves each item was covered. No bot joins the call and guests install nothing. Chrome extension, Supabase Realtime, and serverless Claude evals, built end to end.

Read the case study → Visit site ↗
Five screens of Onset for iOS: routines, an estimated 1RM chart for bench press, the Ready to lift dashboard, weekly progress, and live set logging

Onset

2026 · iOS · Mobile

An iOS workout tracker that makes logging a set quick enough that you actually do it. Programs, live session logging, and charts that show strength moving: weekly volume, personal records, estimated 1RM trends. Native iOS, synced with Supabase, built end to end with Claude Code, and in daily use.

Read the case study →

More projects on the way. Ask me what I’m building right now.