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JulienDesdo/README.md

LinkedIn TryHackMe Medium

0wI

Engineering student @ SeaTech Β· Former CI/CD intern @ FORVIA
Cloud & DevOps Β· Systems & Infrastructure Β· AI background & Security exposure

A curated selection of my repositories, grouped by theme (AI/RL, tooling, and a few older projects that still show how I build/debug systems).

My Projects

Cloud / DevOps / Backend

  • fileflow β€” (under construction) Cloud-native file-processing platform: Go API/CLI, async workers, PostgreSQL/Redis/MinIO, Kubernetes, observability and security.

Tools / Fixes / Utilities

  • GopherTchi β€” macOS menu-bar system monitor written in Go, with a Tamagotchi-style Gopher reacting to CPU, memory and disk usage, plus customizable icon and sprite packs.

  • git-slice β€” Git history slicing CLI: retrieve a repository as it existed at a given date, or extract a bounded commit range without cloning unnecessary modern history.

  • CLI-Toolbox β€” mixed tooling: Python, Bash, PowerShell, R utilities for automation/debug/admin

AI & Reinforcement Learning

  • Cars_DQLN β€” Deep Q-Learning on a custom 2D racing environment (Gym-like)
    β†’ sensors (ray casting), DQN training/testing, full theory in THEORY.md

  • AI-math-lab β€” AI/ML math fundamentals lab β€” optimization, SVM, MLP training (Adam), and Monte Carlo experiments (with reports).

  • kaggle-notebooks β€” notebooks

Other

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🌐 Other languages: French

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  1. GopherTchi GopherTchi Public

    macOS menu-bar system monitor written in Go, with mood-based system health, customizable Gopher packs, sprite animations, and native macOS integration.

    Go

  2. CLI-Toolbox CLI-Toolbox Public

    🧰 Collection personnelle de scripts utiles pour l'administration, le debug et l'automatisation en ligne de commande.

    Python

  3. Cars_DQLN Cars_DQLN Public

    2D racing simulator with a DQN agent (custom Gym-like env) using ray-based sensors for observation.

    HTML

  4. AI-math-lab AI-math-lab Public

    AI/ML math fundamentals lab β€” optimization, SVM, MLP training (Adam), and Monte Carlo experiments (with reports).

    Jupyter Notebook