Olivier Mangin - Research Engineer at Helm.ai

Olivier Mangin

Research Engineer at Helm.ai

Hyères, Provence-Alpes-Côte d'Azur, France

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Summary

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Senior

🎓

Top School

Olivier Mangin is a research engineer with 13 years of experience building intelligent robots and vehicle systems that adapt to human environments and unforeseen situations. With a PhD in computer science and a strong applied-mathematics background from École Polytechnique and ENS Cachan, he blends rigorous scientific methods with pragmatic engineering across academic labs (Inria, Yale) and industry (Bosch, Helm.ai). His work spans multimodal learning, human-robot communication for collaborative manufacturing, and behavior prediction for autonomous driving, and he has led teams and projects for over five years. A hands-on developer as well as a researcher, he contributes to open-source tooling—such as improving a Python BibTeX parser—illustrating attention to robust, tested code beyond cutting-edge models. Colleagues describe him as a creative problem solver who brings vision and method to group work while continually learning from peers.

13 years of coding experience

6 years of employment as a software developer

Master's degree, Applied Mathematics, Computer Science, Master's degree, Applied Mathematics, Computer Science at École Polytechnique

Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Université de Bordeaux

Master, Applied Mathematics - Mathématiques, Vision, Apprentissage (MVA), Master, Applied Mathematics - Mathématiques, Vision, Apprentissage (MVA) at École Normale Supérieure de Cachan

English, French, German

Github Skills (5)

bibtex10

pyparsing10

python10

testing9

latex9

Programming languages (7)

C++ShellCJavaScriptHaskellRubyPython

Github contributions (5)

sciunto-org/python-bibtexparser

Apr 2015 - Jan 2021

Bibtex parser for Python 3

Role in this project:

Back-end Developer

Contributions:65 commits, 28 PRs, 15 pushes in 5 years 9 months

Contributions summary:Olivier primarily contributed to the development of the BibTeX parser. Their work focused on refactoring the parsing logic, introducing a pyparsing-based parser to simplify string handling. They addressed bug fixes, such as resolving issues related to brace removal and parsing of missing commas. They also improved test coverage and introduced features such as the ability to handle string expressions and common string definitions.

pythonbibtex-filespython-3latexparser

ScazLab/hrc_speech_prediction

Sep 2017 - Apr 2018

Contributions:2 PRs, 79 pushes, 5 branches in 7 months

speechmachine-learningprediction

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