James Audretsch is a Staff Machine Learning Engineer based in Zurich with 10 years of experience building scalable, production-grade AI systems and backend services. He has led ML and infrastructure work across startups and major tech companies—founding an AI agent startup, improving LLM finetuning at Google Ads, and designing agentic architectures to autonomously resolve errors and alerts at Phoebe. His background spans end-to-end ML lifecycle work from research-grade deep learning for seismic detection to deploying GPU inference on Kubernetes and Knative, and he consistently bridges research and production. A pragmatist who loves Docker and Python, he pairs systems thinking with product instincts and a founder’s appetite for experimentation. Outside engineering he composes music and plays Ultimate Frisbee, reflecting a creative, team-oriented energy that surfaces in both collaboration and product design.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science (AI), Master of Science - MS Computer Science (AI) at KAUST (King Abdullah University of Science and Technology)
BS Computer Science Artificial Intelligence, BS Computer Science Artificial Intelligence at Indiana University Bloomington
Contributions:15 commits, 57 pushes, 7 branches in 2 years 11 months
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