François Ruty
CTO & Cofounder at Shares
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolFrançois Ruty is a pragmatic CTO and co-founder with nine years of experience building cloud-native, AI-driven products at the intersection of space, VFX, and geospatial intelligence. Based in Greater Paris, he has led engineering teams from startup formation to product delivery—founding Seekscale, heading software at Earthcube (now Preligens), and currently steering tech strategy at Shares. Hands-on across the stack, he moves fluidly from high-level roadmaps to Docker/Kubernetes infra, Python backend services, and deep learning stacks in TensorFlow and PyTorch. He brings proven experience shipping production-grade ML systems and even contributed to differentiable rendering work in the open-source redner project, extending core rendering channels and PyTorch bindings. A former aerospace engineer with dual Grande École credentials (CentraleSupélec and ESSEC), he combines space systems rigor with commercial product instincts. Known for turning ambiguous problems into operational teams and MVPs, he marries technical depth with straight-to-the-point leadership.
8 years of coding experience
8 years of employment as a software developer
Master of science in management (Grande Ecole), Master of science in management (Grande Ecole) at ESSEC Business SchoolIngénieur in space systems (Grande Ecole) Aerospace Aeronautical and Astronautical Engineering, Ingénieur in space systems (Grande Ecole) Aerospace Aeronautical and Astronautical Engineering at CentraleSupélecClasses préparatoires, Classes préparatoires at Lycée Henri IV
French, English, Spanish, Chinese
Github Skills (9)
computer-vision10
pytorch10
computer-graphics10
python10
render10
rendering10
tensorflow9
cprogramming-language9
c-language9
Programming languages (10)
Github contributions (5)
BachiLi/redner
Oct 2019 - Dec 2019
Differentiable rendering without approximation.
Role in this project:
ML Engineer
ML EngineerContributions:13 commits, 3 PRs, 22 comments in 1 month
Contributions summary:François primarily focused on extending the capabilities of the differentiable rendering framework. Their work included adding support for new channel types within the rendering process, such as a generic texture channel. They implemented and tested these features, modifying core rendering code and the Python bindings to integrate the new functionalities. Additionally, the user addressed and fixed bugs within the PyTorch rendering module.
pytorchdifferentiablecomputer-graphicscomputer-visionrendering
francoisruty/fruty_react-admin
Nov 2019 - Jun 2020
Contributions:23 commits, 16 pushes, 1 branch in 7 months
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