Gilles Baechler is a research engineer and machine learning specialist with a PhD from EPFL and nine years of industrial and research experience spanning Google, DeepMind and academic labs. He blends deep expertise in signal and image processing with production-grade engineering—transitioning research on finite-rate-of-innovation sampling and ECG compression into practical systems and backend security tooling at Google. Bilingual in French and English with international experience at Bell Labs, Qualcomm and Carnegie Mellon, he excels at bridging theoretical algorithms and deployable products. His profile is notable for consistently top-tier academic performance and a career arc that moves from signal-processing research to applied ML at leading AI organizations.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at EPFL
Electrical and Computer Engineering, Electrical and Computer Engineering at Carnegie Mellon University
Copy of the Historical Lippmann repository that was lost in the depths of C4science
Contributions:22 commits, 3 PRs, 3 pushes in 4 years 8 months
historicallost
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