Summary
Armin Fabritzek is a freelance AI and computer vision engineer with nine years of experience bridging biological research and production-grade machine learning systems. Trained as a biologist (Diplom/MSc equivalent), he applies rigorous experimental thinking to designing object-detection pipelines, RAG-enabled multi-agent research tools, and edge AI deployments on devices like Raspberry Pi and NAS. He has developed dockerized YOLO/SAM/EfficientNet stacks for real-world tasks such as bird recognition and has managed GPU-heavy HPC infrastructure for model training. Comfortable across Python, PyTorch, and R, he moves projects from data-driven models to embedded production while keeping reproducibility and deployment constraints front and center. Based in Berlin, he enjoys combining ecological domain knowledge with modern AI to solve applied vision problems that demand both scientific nuance and systems engineering. A less obvious strength is his history in population genomics and experimental ecology, which informs his careful approach to dataset bias, sampling, and model generalization.
9 years of coding experience
1 year of employment as a software developer
Diplom, Biologie, allgemein, Diplom, Biologie, allgemein at Johannes Gutenberg-Universität Mainz