About Me

I am a Software Engineer and Researcher based in Bremen, Germany, driven by the intersection of Causal Machine Learning, Systems Engineering, and Mathematics.

Currently, I work at Insytes, where I engineer scalable backends and define ontologies for Causal Discovery systems. My goal is to build tools that don't just predict outcomes but understand the why behind them.

The Engineer

My engineering philosophy is rooted in robustness and scalability. At GBCS Group, I led a team of 10 to modernize fleet management systems, improving delivery times by 20% through Agile practices. I thrive in complex environments, whether it's optimizing cloud infrastructure for ML workloads or architecting secure platforms like the MSA Community Hub (serving 400+ users).

The Researcher

I am deeply fascinated by Automating Scientific Discovery. My work on AutoAgent (2nd Place, Uni Hackathon) explores how LLMs can autonomously execute code from papers. I have also been selected to conduct research on ML for Next-Gen Networks at York University (Toronto) in Summer 2026 under **Prof. Ping Wang** (IEEE Fellow, 30k+ citations). Supported by prestigious **DAAD & Mitacs** scholarships, I will investigate machine learning applications in future generation computer networks.

Previously, at Constructor Tech, I researched AI for Geometry Reasoning, contributing to pipelines for Wu's Method and Alpha Geometry.

The Educator

Knowledge grows when shared. As a Teaching Assistant at Constructor University (Sept 2025 - Jan 2026), I guided over 350 students through the intricacies of C/C++ and the Mathematical Foundations of CS. I believe in making complex abstract concepts—like Graph Theory or Abstract Algebra—accessible and intuitive.

Distinctions & Impact

  • DAAD & Mitacs Research Scholarship - Selected for Research at York University
  • Second Place Winner - University Hackathon 2025 (AutoAgent)
  • Dean's List - Constructor University (All Semesters)
  • Project Selected for Development - AutoAgent (ongoing uni collaboration)
  • Community Impact - Digitalized MSA operations for 400+ students