Jean Senellart

Chief Product Officer at Quandela

Massy, Normandy, France
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Summary

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Rockstar
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Top School
Jean Senellart is a seasoned product and technology executive with over a decade of leadership experience in AI-driven language and translation technologies, currently serving as Chief Product Officer at Quandela. He has a long history at SYSTRAN across roles from Research Engineer and Chief Scientist to CEO and CTO, blending deep research credentials with operational leadership in commercializing machine translation. Jean pairs academic rigor—PhD work supervised by Maurice Gross and lecturing at École Polytechnique—with hands-on engineering, having contributed backend sequence-tagging code to the well-known OpenNMT open-source NMT project. Based in Massy, Normandy, he is skilled at translating advanced NLP research into viable products and roadmaps that scale. Colleagues know him for navigating both strategic pivots and low-level model implementation details, a rare mix that accelerates product delivery in complex AI domains.
code10 years of coding experience
job21 years of employment as a software developer
bookMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Ecole polytechnique
languagesEnglish, French, Korean, Spanish
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Stackoverflow

Stats
103reputation
5kreached
2answers
1question
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Github Skills (11)

lua10
torch-hub10
machine-translation10
torch-net10
deep-learning10
neural-machine-translation10
n9
rnn-model9
eigen6
forloop6
python6

Programming languages (10)

C#CSSShellC++CLuaJupyter NotebookPureBasic

Github contributions (5)

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OpenNMT/OpenNMT

Mar 2017 - Feb 2018

Open Source Neural Machine Translation in Torch (deprecated)
Role in this project:
userBack-end Developer
Contributions: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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