Simon Wiedemann
Senior ML Engineer at Apple
United States
Summary
👤
Senior🎓
Top SchoolSimon Wiedemann is a Senior ML Engineer and two-time founder with a decade of experience translating physics-rooted rigor into production-grade machine learning systems. He has driven deep-tech R&D and scaling at startups—leading generative 3D methods, differential rendering, LLM agent applications, and large-scale MLOps—and now contributes ML expertise at Apple. His research pedigree includes a PhD-level background and leadership at Fraunhofer HHI, where he co-developed DeepCABAC, contributed to the MPEG-7 neural compression standard, and accrued 2,000+ citations and patents in efficient DNN processing. Comfortable across theory and systems, he has shipped novel recommendation engines that run on resource-constrained devices and built continuous training/deployment pipelines. Colleagues describe him as a physicist-at-heart who enjoys “trying to make cool things,” combining inventive research with pragmatic product delivery.
10 years of coding experience
9 years of employment as a software developer
Physics, Physics at University of OregonCreative Destruction LabDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Technische Universität Berlin
English, German, Spanish, CatalanProgramming languages (2)
Github contributions (5)
fraunhoferhhi/DeepCABAC
Jul 2019 - Jun 2020
Contributions:7 commits, 1 PR, 7 pushes in 10 months
swiedema/Test
Jan 2016 - Jan 2016
Contributions:2 PRs, 7 pushes, 3 branches in 1 day
testingtest-repository
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