Kirian Guiller
AI Project Manager at Questel
Montpellier, Occitania, France
Summary
👤
Senior🎓
Top SchoolKirian Guiller is an AI Project Manager and NLP engineer with 8 years of experience building full-stack, embedded and IoT ML ecosystems in Python, JavaScript, C and C++. He blends academic rigor from a PhD candidacy in NLP with hands-on product delivery—having developed production NLP and TTS models for a language learning app and contributed Mandarin support to the widely used coqui-ai/TTS project. His background spans industrial ML consulting (automated visual inspection and predictive maintenance for manufacturing and energy), designing MVP architectures for audio/IoT systems, and deploying backend ML services in FastAPI/Node. Kirian maintains several open-source syntax and annotation tools, created the first Chinese SUD treebank accepted into Universal Dependencies, and shipped the first-class Chinese Tacotron TTS model release. He is comfortable bridging research, engineering and product, rapidly turning syntactic- and language-focused research into deployable tooling. Based in Montpellier, France, he brings a rare mix of linguistic insight, systems-level engineering and embedded/IoT experience.
8 years of coding experience
5 years of employment as a software developer
Master's degree Natural Language Processing, Master's degree Natural Language Processing at Université Sorbonne NouvelleMaster's degree Industrial Engineering, Master's degree Industrial Engineering at Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
English, Japanese, French, Spanish, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
speech-to-text10
pytorch10
text-to-speech10
deep-learning10
python10
taco9
voice-conversion8
speech-synthesis7
Programming languages (11)
Github contributions (5)
coqui-ai/TTS
Feb 2021 - Mar 2021
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Role in this project:
ML Engineer
ML EngineerContributions:15 commits, 5 PRs, 10 comments in 14 days
Contributions summary:Kirian primarily contributed to the Chinese Mandarin text-to-speech implementation within the repository. Their work included updating and integrating Chinese language models, modifying text preprocessing tools for Mandarin, and adapting the synthesis pipeline. These changes involved model updates, example notebooks with new model IDs, and modifications to code related to Chinese number handling, directly impacting the functionality and language support of the TTS system.
text-to-speechpythonspeaker-encodingsasrglow-tts
kirianguiller/reactive-dep-tree
Mar 2021 - Sep 2021
Contributions:54 commits, 34 pushes, 1 branch in 6 months
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