
Time Series Annotator
Cross-platform Java desktop tool to visualize and annotate multivariate time-series (CSV/HDF5) for Tandem Diabetes Care; supports linked, resizable charts (line/step/scatter), zoom/pan, and import/export of annotations.

Munich, Germany
I build reliable, clean systems and explore practical ML / Computer Vision tooling.
I'm a software engineer from California, now based in Munich. I spent over two years at SPA in San Diego, where I built production-ready tools for defense clients and eventually stepped into a program lead role. That experience taught me how to take ownership, navigate complexity, and get things across the finish line without waiting to be asked.
Now I'm pursuing a Master's in Informatics at TUM, focusing on computer vision and machine learning. I chose TUM for the challenge—the program is tough, well-regarded, and full of opportunities to stretch myself. Munich also has a strong tech and startup scene, which is exactly what I was looking for.
I've been coding since I was a kid. What drew me in was how easy it was to get started. I didn't need fancy hardware, just a laptop and the will to build something, and I've always loved that kind of creative freedom. These days, I still enjoy building side projects, especially tools that solve niche problems or help communities run more smoothly.
I'm currently open to part-time / working-student roles in Munich. Something in computer vision or ML would be ideal, but I'm also open to full-stack roles where I can work with smart people and ship real things. I do well in agile, fast-moving teams, and I'm comfortable either leading or supporting as needed. I like to ask questions, push back when necessary, and stay flexible as ideas evolve.
One thing I try to live by: don't oversell, just deliver great work and let that speak for itself.
I'm bilingual in English and German, and always happy to connect. Shoot me a message on LinkedIn! :)

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.

Won the Black Forest Labs challenge at START Munich's 24-hour hackathon with "EduComic," an AI-powered web app that turns classroom lessons into personalized comic strips using FLUX.2 image generation and LLMs.

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.
Jul 2025 – Oct 2025 • San Diego, CA
Jun 2023 – Jul 2025 • San Diego, CA
Aug 2022 – Jun 2023 • Carlsbad, CA
Jun 2022 – Aug 2022 • Carlsbad, CA
Jun 2021 – Aug 2021 • Boston, MA
Jun 2021 – Sep 2021 • Newark, DE