François-Guillaume Fernandez is a Paris-based founder and engineer with five years of hands-on experience building ML-powered products and developer infrastructure. He’s co-founded YC-backed startups (Sourcepulse, Quack AI) and a non-profit (Pyronear) that deploys deep-learning wildfire detectors on low-power embedded devices, showing a rare blend of research-grade computer vision and pragmatic edge deployment. At Mindee he shipped open-source OCR tooling and handled CI/CD, Docker, FP16/quantization and other deployment work, demonstrating a focus on production efficiency as well as model quality. Comfortable across research, backend and DevOps, he scales ML systems from prototype to robust pipelines while also founding and leading product teams. Fluent in PyTorch, FastAPI and deployment tooling, he combines entrepreneurial grit with an engineer’s attention to reproducible, automated workflows.
5 years of coding experience
5 years of employment as a software developer
Y Combinator
Master of Engineering (MEng) Mathematics and Computer Science, Master of Engineering (MEng) Mathematics and Computer Science at CentraleSupélec
Master of Science (MSc) Economics, Master of Science (MSc) Economics at École Polytechnique
CPGE PCSI/PSI* (Classes préparatoires) Applied Mathematics, CPGE PCSI/PSI* (Classes préparatoires) Applied Mathematics at Lycée Jean-Baptiste SAY
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Role in this project:
Backend & DevOps Engineer
Contributions:7 releases, 833 reviews, 682 commits in 1 year 2 months
Contributions summary:François-guillaume primarily focused on setting up and maintaining the project's infrastructure and build processes. Their contributions involved establishing the basic repository structure for a Python package, configuring code quality tools, integrating CI/CD jobs using GitHub Actions, and setting up a Docker build. They also worked on integrating and removing continuous integration tools like Jenkins and CircleCI, indicating a focus on automating build and deployment workflows. Furthermore, the user added support for FP16 and quantization of the model, suggesting they were also responsible for the deployment efficiency of the models in question.
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François-guillaume Fernandez - Working On Something New at Stealth Startup