Bio

I'm Stefan, an AI product engineer and software builder from Germany. For more than ten years, I have worked across product development, software engineering, machine learning, and applied AI. Today, I build my own software products and work selectively with teams that need senior support. I can help shape an idea, test it with a prototype, design the architecture, build the product, and take it into production.

I started out as a software developer and went straight into entrepreneurship after my bachelor's degree. In 2016, I co-founded the VR agency Involvr. Our team of six built immersive web, mobile, and headset experiences for enterprise clients. When that chapter ended, I returned to university for my master's degree while freelancing on VR and 360-degree web applications. In 2021, I joined Opta Data Finance GmbH as a machine learning engineer and learned what it takes to operate computer vision and OCR systems at production scale. From 2023 to 2025, I worked as a senior consultant at Machine Learning Reply. My roles ranged from data scientist and computer vision engineer to GenAI engineer and product manager. In 2026, I became independent again - this time combining product thinking, engineering, AI, and client delivery to build my own products and support selected teams.

These six projects show the range best - immersive products, production machine learning, industrial computer vision, predictive maintenance, generative AI, and global product management. I kept the cards below brief on purpose. For outcomes, visuals, and lessons learned, see the portfolio.

Since becoming independent in 2026, I have been building my own products and taking on selective freelance work. The two current focus areas are Zeitclaim, my AI time-tracking SaaS, and advisory plus engineering work with Trusted Advisor Group on wealth-management software. Both stretch well beyond pure engineering: go-to-market, growth experiments, and running a product end to end.

Sure. I hold an M.Sc. in Applied Computer Science from TU Dortmund, with coursework in machine learning, databases, and project management. On the engineering side, I have shipped production systems across the full AI stack: training and evaluating deep learning models, building GPU-accelerated inference services with TensorFlow Serving and Nvidia Triton, processing terabyte-scale datasets with PySpark, deploying on Kubernetes and AWS, and integrating models into user-facing web and mobile applications.