Ahoy 
🔭 I'm a freelance Machine Learning Engineer - I design & implement ML workflows answering my clients business needs.🌱 I’m currently learning Kubernetes.💬 I'd be happy to chat ML Ops, cloud + I'm always willing to exchange some Git or Python protips.🎓 Alumnus of Centrale Nantes - Signal Processing & Statistics.📫 You can reach me on Twitter @fpaupier💼 For business inquires, send me an email📬
Previously, I developed Software and Data Science services at Kpler, Paris and Schneider Electric, Boston, MA.
- How Apache NiFi works - surf on your dataflow, don't drown in it
- Unleash Multiprocessing with Python and gRPC
- Build a Telegram Bot in Go in 9 minutes
More posts on my Medium 
I host a podcast about dealing with failure in complex systems, the Post Mortem Podcast.
Every month, I receive an engineer, data scientist, or researcher to dissect a system outage. We try to understand what happened and reflect on ways to mitigate future service disruption.
Available wherever you get your podcasts.
My favorite tool is the one that's right for the job at hand. Still, I've developed a particular affinity for some.
- I'm more proficient with Python for backend services (fastAPI, gRPC). I also actively contribute to a C++ / Qt codebase for one of my clients.
- Regarding storage, I'm used to working with Postgres and love SQLite ease of use for side projects.
- Docker won my heart and I can hardly imagine going back to the dark times before.
- The speed at which React makes it possible to develop a clean and rich UI makes it my go-to front-end framework.
