Jean Senellart
Chief Product Officer at Quandela
Massy, Normandy, France
Summary
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Rockstar🎓
Top SchoolJean Senellart is a product-focused technology leader based in Massy, France, serving as Chief Product Officer at Quandela where he helps translate quantum photonics research into customer-ready products. He combines deep research roots—PhD-level academic roles and a Master from École Polytechnique—with long leadership at SYSTRAN across R&D, chief scientist, CTO and CEO roles, giving him rare fluency across research, engineering and executive strategy. He remains hands-on with machine translation and ML tooling, having contributed a SeqTagger module to the notable OpenNMT project (Lua/Torch), evidence of technical detail orientation despite senior roles. Jean is comfortable bridging complex domains from NLP and neural machine translation to quantum technologies, and is known for turning advanced algorithms into marketable products. Based in Normandy, he blends academic rigor with product-driven pragmatism.
9 years of coding experience
21 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Ecole polytechnique
English, French, Korean, Spanish
Stackoverflow
103reputation
5kreached
2answers
1question
Github Skills (11)
lua10
machine-translation10
deep-learning10
torchhub10
neural-machine-translation10
torchnet10
n9
rnn-model9
eigen6
python6
for-loop6
Programming languages (10)
Github contributions (5)
OpenNMT/OpenNMT
Mar 2017 - Feb 2018
Open Source Neural Machine Translation in Torch (deprecated)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:134 commits, 272 PRs, 369 pushes in 10 months
Contributions summary:Jean primarily contributed to the development of a sequence tagger module within the OpenNMT framework. This involved creating a new Lua-based class, `SeqTagger`, and implementing the forward and backward computation of the loss within a deep learning model. The user also integrated the new sequence tagger by adding and modifying support files. These changes indicate significant involvement in building and refining the core functionality of the neural machine translation system.
nlpmachine-translationtranslationtorchnmt
jsenellart/papers
Nov 2017 - May 2020
Contributions:15 commits, 28 pushes, 1 branch in 2 years 6 months
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