Christian Leibig is a Staff AI Engineer and lead based in Berlin with a decade of experience building end-to-end ML and AI systems that bridge research and production. He holds a PhD in Neural Information Processing and has progressed from academic neural-data research and uncertainty in deep learning to founding ML teams and directing machine learning at Vara. Currently he advises and mentors across startups and research projects while leading AI engineering at yasp and running an independent ML science practice, minimal ∩ entropy. Christian combines deep domain expertise in neural signal processing with practical productionization skills, making him comfortable owning both model research and deployment pipelines. An underappreciated strength is his long-standing focus on uncertainty and reliability in models, carried from postdoc work into product-grade ML.
10 years of coding experience
6 years of employment as a software developer
Msc (Diploma) Physics, Msc (Diploma) Physics at University of Konstanz
PhD Neural Information Processing, PhD Neural Information Processing at International Max Planck Research School, University of Tübingen
Contributions:3 pushes, 1 branch in 2 years 3 months
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Christian Leibig - Staff AI Engineer & Lead at minimal ∩ entropy