Théis Bazin is a Data Scientist and ML × Full-Stack Research Engineer based in Paris with 11 years of experience building interactive AI systems, notably a PhD in machine learning for interactive music from Sony CSL Paris and IRCAM. He has led ML teams and shipped multimodal prototypes at MWM, bridging research and product by combining PyTorch research, MLOps on GCP, and full-stack web prototypes in TypeScript/React. His research work produced practical music-inpainting interfaces (NONOTO, NOTONO, PIANOTO) that prioritize intuitive, mobile-friendly UXs for non-musicians while remaining integrable with professional DAWs. He contributes to open-source web-audio tooling (NexusUI) with front-end fixes that reflect a hands-on approach to both audio UX and low-level bugs. Known for his critical stance on AI hype, he focuses on realistic applications and deployment pragmatics rather than promises. Currently at a stealth startup, he continues to blend deep research, product-focused engineering, and thoughtful skepticism about AI’s societal implications.
11 years of coding experience
4 years of employment as a software developer
Nomalien Informatique, Nomalien Informatique at ENS Paris-Saclay
Contributions:5 commits, 5 PRs, 4 comments in 4 months
Contributions summary:Théis primarily focused on fixing bugs and making improvements to the user interface of the NexusUI project. Their commits addressed issues with component behavior, specifically fixing import errors, correcting layout typos, and resolving input handling problems for number inputs. They also corrected a regression related to interval imports. Their work involved Javascript and web-audio related technologies.
Contributions:59 commits, 4 PRs, 26 pushes in 3 years 3 months
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