Pierre Enel

Machine Learning Engineer at Stream

San Francisco, California, United States
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Summary

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Senior
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Top School
Pierre Enel is a Machine Learning Engineer with a PhD in Computational Neuroscience and a decade of experience translating cutting-edge research into production-ready ML systems for neuroscience, healthcare, and precision medicine. He has designed and deployed novel algorithms—from LSTM-based biological state detectors and adaptive Kalman filters to closed-loop model predictive controllers—and built MLOps pipelines and cloud infrastructure to scale training and monitoring. His work spans deep learning, reinforcement and self-supervised learning, and large-scale data engineering, including vector search/RAG stacks (ChromaDB, LangChain) demonstrated in an independent GiantsMind project for semantic scientific literature interaction. Notably, he optimized analyses that required trillions of regressions by vectorizing scikit-learn and parallelizing with Dask, showing a knack for squeezing performance from standard tools. Based in San Francisco, Pierre combines rigorous academic instincts with practical product delivery, often bridging silicon and organic intelligence in multimodal LLM and neural-signal applications.
code10 years of coding experience
job6 years of employment as a software developer
bookLicence 1 Physics and chemistry (Science de la matière), Licence 1 Physics and chemistry (Science de la matière) at Université Henri Poincaré, Nancy 1
bookDoctor of Philosophy (Ph.D.) Computational Neuroscience, Doctor of Philosophy (Ph.D.) Computational Neuroscience at Université Claude Bernard Lyon 1
bookLicence Cognitive Science, Licence Cognitive Science at Université Lumière Lyon 2
bookMaster 1 Cognitive Science, Master 1 Cognitive Science at University of Virginia
languagesFrench, English
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675reputation
73kreached
4answers
8questions
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Github Skills (61)

ray8
optimization8
python8
reinforcement-learning8
parallel8
pytorch7
java7
machine-learning7
tensorflow7
keras7
hyperparameter-optimization7
deep-learning7
api6
shared-libraries6
linux6

Programming languages (5)

C++TeXJupyter NotebookPythonEmacs Lisp

Github contributions (5)

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p-enel/isend-mode.el

Jan 2018 - Mar 2021

Interactively send parts of an Emacs buffer to an interpreter
Contributions:2 PRs, 7 pushes, 2 branches in 3 years 3 months
bufferpartsemacsinterpreteremacs-packages
Contributions:8 commits, 7 pushes, 1 branch in 11 months
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