fpaupier - Overview (original) (raw)
Machine learning engineer & Technical leader
🛠 Core Competencies:
- Machine Learning Workflow Design & Optimization
- Natural Language Processing (NLP) & Computer Vision (CV)
- Model training, deployment & monitoring -
PyTorch,LabelStudio,MLFlow,DVC
- Distributed Data Processing & Scalable Architectures (
docker,docker-compose,kubernetes) - Cloud Computing (
Scaleway,AWS,GCP) - Full-Stack Development
- Backend (
Python,FastAPI,gRPC) - Frontend (Vanilla
JS/HTML,React)
- Backend (
📚 Education: Centrale Nantes - Master of Science: Signal Processing & Statistics.
🗂 Professional Journey:
- ML Engineer & Eng. manager @ French DoD
- Freelance ML Engineer
- ML Engineer @ Schneider Electric, Boston, MA
- Data Engineer @ Kpler, Paris
🔍 Learning: Currently looking at Robotics, Game Theory, Evolutionary Computing & Metaheuristics, Conflict-free Replicated Data Types (CRDTs)
Featured Content 📝
- 📕 Blog Posts:
- 🎙 Podcast - Post Mortem Podcast: Exploring the intricacies of system outages, causes, and solutions. Available on Apple Podcasts, Spotify, and Deezer
Tech Stack 🛠️
My favorite tool is the one that's right for the job at hand. Still, I've developed a particular affinity for some.
Connect 🔗
Credits
Banner designed using the github profile header generator, octocat shaped with the myOctocat creator.



