Pierrick Pochelu
Luxembourg
Summary
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RockstarPierrick Pochelu is a DevOps Engineer based in Luxembourg with a PhD and six years of experience translating HPC research into production-ready AI systems. He designed AutoML and ensemble workflows for multi‑GPU environments that produced 25% lower error at equivalent prediction time and an ensemble inference system 2.7× faster than common deployments. Comfortable from bit-level compression to distributed message passing, he has built high-performance C++/Python frameworks—including a discrete-event simulator using Petri nets and graph partitioning to enable automatic parallelism. His applied work spans patented microscopy image recognition, SAR segmentation and microgrid RL ensembles, and he regularly teaches and advises on parallel programming, HPC research and ML. Now leading tech efforts at LuxProvide on the EuroHPC Seanergys project, he combines deep optimization skills with DevOps practices to scale research prototypes into reliable production systems.
7 years of coding experience
Github Skills (106)
cox-regression10
python10
deep-learning10
scikit10
statistics10
machinelearning10
transformer10
nlp10
jax10
data-science10
tensorflow10
natural-language-processing10
baidu10
data-analysis10
pytorch10
Programming languages (7)
Github contributions (5)
PierrickPochelu/Benchmark_Anomaly_Detection_On_Timeseries
Aug 2022 - Oct 2022
Contributions:46 commits, 42 pushes, 1 branch in 2 months
PierrickPochelu/JaxDecompiler
Dec 2022 - Feb 2023
Contributions:36 commits, 53 pushes, 1 branch in 2 months
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