Summary
Philipp Weinmann is a Junior Machine Learning Engineer based in Berlin with eight years of software engineering experience and a strong academic foundation in computer science and data science from KIT and TU Berlin. He blends practical ML research experience from Charité with production-focused engineering roles, having moved from full‑stack and automation projects into ML engineering at binaere bauten and ELTEMATE. Comfortable across the stack, he has shipped Python automation for device provisioning, built web-facing features as a full‑stack developer, and transitioned those skills into data-driven model development. He seeks collaborative teams and creative problem spaces where he can design innovative solutions that balance research rigor and deployability. Notably, his background spans both hands-on infrastructure work (Ansible, Raspberry Pi provisioning) and applied ML research, enabling him to bridge gaps between prototyping and production. Open to new opportunities, he brings a pragmatic, curious approach to turning complex data problems into reliable systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Informatik, Bachelor's degree Informatik at Karlsruhe Institute of Technology (KIT)
Abitur Leistungskurs Mathematik, Abitur Leistungskurs Mathematik at Lycée International des Pontonniers
Master's degree Computer science specialization: data science, Master's degree Computer science specialization: data science at Technische Universität Berlin
English, German, French