Pierre Enel
Ataraxia Multi-Persona LLM System & AI Architecture at NeuralCognition
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolPierre 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.
11 years of coding experience
6 years of employment as a software developer
Licence 1, Physics and chemistry (Science de la matière), Licence 1, Physics and chemistry (Science de la matière) at Université Henri Poincaré, Nancy 1Doctor of Philosophy (Ph.D.), Computational Neuroscience, Doctor of Philosophy (Ph.D.), Computational Neuroscience at Université Claude Bernard Lyon 1Licence, Cognitive Science, Licence, Cognitive Science at Université Lumière Lyon 2Master 1, Cognitive Science, Master 1, Cognitive Science at University of Virginia
French, English
Stackoverflow
675reputation
73kreached
4answers
8questions
Github Skills (53)
reinforcement-learning7
python7
optimization7
hyperparameter-optimization6
keras6
deep-learning6
tensorflow6
shared-libraries6
machine-learning6
linux6
blas6
large-language-models6
numpy6
pytorch6
parallel6
Programming languages (5)
Github contributions (5)
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
p-enel/stable-and-dynamic-value
Jul 2020 - Jul 2021
Contributions:8 commits, 7 pushes, 1 branch in 11 months
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