Julien Odent
Software Engineer at Dacodasoft
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJulien Odent is a software engineer with 13 years of experience specializing in natural language processing, speech recognition, optimization, and applied machine learning. Based in Mountain View, he has built production ASR systems (using Kaldi), SDKs in Python and Ruby, and contributed to high-profile open-source projects at Wit.ai and Facebook, notably improving Duckling’s multilingual time parsing and build reliability. He combines research-grade skills from an MSc in AI with practical full-stack engineering—having implemented speech engines from scratch, real-time suggestion systems, and custom multiobjective ranking algorithms. Julien’s work often sits at the intersection of IR, collaborative filtering and constraint/graph-based methods, and he has a track record of shipping robust tooling and SDK integrations. Less obvious: he routinely tackles build and dependency complexities across languages and platforms, smoothing the path from prototype to production.
14 years of coding experience
1 year of employment as a software developer
Upper Secondary Education Certificate, Classics, Upper Secondary Education Certificate, Classics at Collège Saint-Augustin - EnghienMSc, Computer Science, Artificial Intelligence, MSc, Computer Science, Artificial Intelligence at Université catholique de Louvain
Github Skills (27)
apim10
string-parsing10
datetime10
javascript10
datetime-parsing10
python10
apidoc10
clojure-cli10
date-parsing10
cab10
clojure10
regular-expression10
date-parser10
api10
sdk10
Programming languages (14)
Github contributions (5)
wit-ai/pywit
Sep 2014 - Feb 2022
Python library for Wit.ai
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 35 commits, 15 PRs in 7 years 5 months
Contributions summary:Julien primarily contributed to the back-end functionality of the `pywit` library. Their commits focused on refining the core API, specifically by modifying `pywit.c` to optimize memory management and update return types, and making it more robust. They also introduced improvements to the build process by integrating platform-specific libraries and removing dependencies. Further contributions included enhancements to example code for better usability and integration with Wit.ai.
python
wit-ai/node-wit
Apr 2016 - Aug 2022
Node.js SDK for Wit.ai
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 releases, 1 review, 30 commits in 6 years 4 months
Contributions summary:Julien primarily contributed to the `node-wit` repository by modifying core functionalities and example files. Their changes included validating error actions, integrating messenger examples, and updating action parameters. They also addressed issues related to requiring the examples and updated API versions. Their work indicates an involvement in maintaining the SDK's functionality, expanding integration options, and keeping up with the latest API changes.
nodejs
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