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🛠 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)

📚 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)

• 📕 Blog Posts:

  • Large Language Model (LLM) Finetuning & Evaluation - Practical Insights
  • Apache NiFi - Surf on Your Dataflow
  • Multiprocessing with Python & gRPC
  • Telegram Bot in Go

• 🎙 Podcast - Post Mortem Podcast: Exploring the intricacies of system outages, causes, and solutions. Available on Apple Podcasts, Spotify, and Deezer

My favorite tool is the one that's right for the job at hand. Still, I've developed a particular affinity for some.

git ubuntu unix react npm javascript PostgreSQL SQLAlchemy SQLite python Pandas C++ Qt aws gcp Docker Go

f-paupier amiabl

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