fpaupier/knapsack

A knapsack implementation in go

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)

📚 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, Evolutionary Computing & Metaheuristics, Conflict-free Replicated Data Types (CRDTs)

Featured Content 📝

• 📕 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

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 🔗

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Credits

Banner designed using the github profile header generator, octocat shaped with the myOctocat creator.