Fabio Grätz is a seasoned MLOps and systems engineer with eight years of experience building production-grade ML infrastructure and inference platforms, currently a Member of Technical Staff at CuspAI and core contributor to Flyte's Technical Steering Committee. He combines a Ph.D. in theoretical astrophysics with hands-on systems work—authoring RFCs, designing secure-by-default deployments, and implementing deterministic error propagation to simplify debugging in distributed workflows. Fabio has led MLOps teams that delivered self-serve internal developer platforms and architected high-performance multi-node inference systems (including a Rust inference server that doubled throughput vs. vLLM). He is a prolific open-source maintainer (80+ merged PRs across Flyte) and writes about AI on Medium, blending research rigor with pragmatic engineering to bridge ML development and operations.
7 years of coding experience
6 years of employment as a software developer
German highschool Abitur degree, German highschool Abitur degree at Deutsche Schule der Borromaerinnen Kairo
Ph.D. Candidate Theoretical Astrophysics, Ph.D. Candidate Theoretical Astrophysics at University of Potsdam
Contributions:43 commits, 2 PRs, 41 pushes in 8 months
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