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Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

Home Page: https://www.amundsen.io/amundsen/

License: Apache License 2.0

Shell 0.02% Mustache 0.03% HTML 0.13% Makefile 0.10% Python 67.94% TypeScript 29.33% JavaScript 0.09% SCSS 2.28% Scala 0.10%

amundsen's Introduction

Twitter Medium Personal Website

Header

Machine Learning Engineer & Technical Leader

๐Ÿ›  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)

๐Ÿ“š Education: Centrale Nantes - Master of Science: Signal Processing & Statistics.

๐Ÿ—‚ Professional Journey:

  • ML Engineer & Eng. manager @ French DoD
  • Freelance ML Engineer
  • ML Engineer @ Schneider Electric, Boston, MA
  • Data Engineer @ Kpler, Paris

๐Ÿ” Learning: Currently looking at Robotics, Evolutionary Computing & Metaheuristics, Conflict-free Replicated Data Types (CRDTs)

Featured Content ๐Ÿ“

Tech Stack ๐Ÿ› ๏ธ

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

Connect ๐Ÿ”—

f-paupier amiabl


quote

Credits

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

amundsen's People

Contributors

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