I joined the BIFOLD Institute in Berlin as a research associate within the DAMS Research Group led by Prof. Dr.-Ing. Matthias Böhm. My current work focuses on a new out-of-core backend for Apache SystemDS.

At KreisKlang, we developed a digital synthesizer for exploratory sound design. With the two brilliant co-founders Erik and Miguel, we worked since January 2024 to transform a rough prototype to a finished product. Curious? You can check it out on our website.

As a CTO of KreisKlang, I led the full-stack development of Fabrik, which involved building highly technical solutions for low-latency data processing, improving UX cross-platform with 400+ beta testers, managing stakeholders, and dealing with legal requirements.

At KreisKlang, I gained hands-on experience building a JIT compiler using LLVM, doing CI/CD for our Cloud Features, and diving deep into digital signal processing.

After completing my Dual Studies with a B.Sc. in Computer Science, I took three semesters of Mathematics at Technische Universität Berlin to deepen my theoretical knowledge.

Continuing with my M.Sc. in Computer Science, I specialized in Data Engineering and Machine Learning, focusing on efficient execution on a large scale.

I chose to do my Master's Thesis at the DAMS Research Group on the topic of discovering and generating algebraic rewrites for ML Systems. I had the chance to dive deep into ML compilers and performance optimization under the supervision of Prof. Dr.-Ing. Matthias Böhm.

I completed my studies with a very good grade of 1.0 (german scale).

At Wacker Chemie AG and Duale Hochschule Baden-Württemberg, I pursued my Bachelor's Degree in a dual study program. There, I had the opportunity to work as a software engineer and data scientist in different departments. During my Bachelor's Thesis, I did an exploratory analysis of chemical recipe data.

I graduated as the best student with the best thesis of the Computer Science class 2021.