
EduComic
Hackathon-winning classroom storytelling prototype that turns lesson materials into source-grounded comics starring fictional student avatars. Built by a five-person team during START Munich's 24-hour hackathon.

Munich, Germany
I build practical software and computer-vision systems with as little unnecessary complexity as possible.
I'm a software engineer from California, now based in Munich. Before starting my Master's at TUM, I spent more than two years at Systems Planning and Analysis in San Diego. I developed Java-based analysis software and later led its user-driven roadmap and release process.
I recently completed my TUM Interdisciplinary Project with Hefex Labs, where I built computer-vision pipelines and integrated segmentation models into an applied system. I now continue that work part-time as a Software & AI Engineer while pursuing my M.Sc. in Informatics at TUM.
I've been coding since I was a kid, and I still build side projects whenever a problem catches my attention. I like systems that are easy to understand, hard to misuse, and no more complex than the job requires.
I work in English and German. The best way to reach me is on LinkedIn.

Hackathon-winning classroom storytelling prototype that turns lesson materials into source-grounded comics starring fictional student avatars. Built by a five-person team during START Munich's 24-hour hackathon.

Indoor-positioning prototype that learns Wi-Fi signal fingerprints to estimate live location. Streams filtered RSSI scans through a FastAPI/WebSocket backend and KNN localizer to a React map.





Won first place in LPL Financial's 24-hour hackathon with a stock prediction web app using AWS Forecast, Python (Flask), Natural Language Processing for news article sentiment analysis, and a custom HTML/CSS/JS frontend.

Built in 24 hours by a five-person team, EduComic won the Black Forest Labs challenge at START Munich's hackathon. The working demo turned lesson materials into source-grounded comics using FLUX.2 and OpenAI.

Won 2nd place in the Comstruct challenge with CMats, a voice agent system that lets construction foremen order C-materials like screws, bolts, and gloves, paired with a management platform for construction site overview and order tracking.
Aug 2026 – Present • Munich
Mar 2026 – Aug 2026 • Munich
Jul 2025 – Oct 2025 • San Diego, CA
Jun 2023 – Jul 2025 • San Diego, CA
Sep 2022 – Jun 2023 • Carlsbad, CA
Jun 2022 – Aug 2022 • Carlsbad, CA
Jun 2021 – Aug 2021 • Boston, MA
Jun 2021 – Aug 2021 • Remote