JeremieĀ Coullon
Machine Learning Engineering Manager at Scale AI
London, England, United Kingdom
Summary
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Seniorš
Top SchoolJeremie Coullon is a Machine Learning Engineer with 11 years of experience who builds production-ready ML systems for speech and audio applications. He has driven voice conversion, post-training TTS, large-scale speech data pipelines and evaluation frameworks at Papercup and now continues ML work at Scale AI, blending research rigor from a PhD in computational statistics with product-focused delivery. His background spans Bayesian ML research (including scalable inference and JAX-based open-source work) and hands-on engineering for multilingual generative speech, giving him rare cross-domain fluency. Before returning full-time to tech he spent years as a professional jazz guitarist, a detail that surfaces in his sensible approach to signal, timbre and human-centred ML.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at Imperial College LondonMSc (Eng) Transport Planning and Engineering, MSc (Eng) Transport Planning and Engineering at University of LeedsUniversity College London
Github Skills (58)
mcmc10
bayesian-inference10
journal9
probabilistic-programming9
algorithms9
pyro9
webapp9
jax9
open-access8
xla8
jit8
gpu8
tqdm8
numpy8
speech8
Programming languages (6)
Github contributions (5)
jeremiecoullon/SGMCMCJax
Jun 2021 - Apr 2022
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
Contributions:3 releases, 154 commits, 53 PRs in 10 months
jaxmcmcbayesian-inferencesampling-methods
jeremiecoullon/myblog
Nov 2019 - Oct 2024
Contributions:2 PRs, 69 pushes, 4 branches in 4 years 11 months
my-blog
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