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mehdiboubnan/README.md

Hi there

Night Coding

👨🏻‍💻  About Me

I am Mehdi, a Senior AI & Platform Engineer from France 🇫🇷, born in Morocco 🇲🇦.

  • 🔭  Currently building scalable AI systems, LLM-powered applications, and high-performance inference platforms @ Mindee Badge

  • 🤖  Focused on LLMs, AI Agents, RAG systems, and high-performance ML inference.

  • ⚡  Passionate about backend architecture, distributed systems, observability, and MLOps.

  • 🚀  Building production-grade AI applications with FastAPI, PostgreSQL, Redis, Celery, Triton, TensorRT, and Kubernetes tooling.

  • 🌱  Currently exploring efficient AI serving, agent orchestration, dependency injection patterns, and scalable async systems.

  • 😍  Open-source enthusiast always curious about new technologies.

  • 😄  What I do in my free time : 📸 🏎️ ⚽ 🎮


🛠️  Tech Stack

💻 Programming Languages

Python TypeScript SQL Bash

🤖 AI / Machine Learning

PyTorch Tensorflow Transformers OpenCV NumPy Pandas Scikit-learn

🚀 Model Serving & Inference

Triton Server ONNX TensorRT vLLM

🏗️ Backend & Distributed Systems

FastAPI PostgreSQL Redis RabbitMQ Celery SQLModel PydanticAI

⚙️ MLOps / DevOps / Observability

Docker GitHub Actions ArgoCD Grafana Prometheus ClearML Helm

☁️ Cloud & Infrastructure

AWS GCP

💻 Operating Systems

Ubuntu NixOS MacOS

🛠️ Tools & IDEs

PyCharm VSCode Git


⚙️  GitHub Analytics

mehdiboubnan


📌  Current Interests

  • AI Agents & autonomous workflows
  • Retrieval-Augmented Generation (RAG)
  • High-performance inference & optimization
  • Backend architecture & distributed systems
  • Observability & production reliability
  • Open-source developer tooling
  • NixOS & homelab experimentation

Pinned Loading

  1. Deep-Reinforcement-Learning-applied-to-DOOM Deep-Reinforcement-Learning-applied-to-DOOM Public

    DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

    Python 94 18

  2. Kaggle-Bird-Classification Kaggle-Bird-Classification Public

    In-Class Kaggle competition on a subset of the Caltech-UCSD Birds-200-2011 bird dataset. Rank : 4th

    Python 3

  3. Probabilistic-Graphical-Models Probabilistic-Graphical-Models Public

    Various labs designed to answer mathematically to different machine learning problems. Professors : Francis Bach, Nicolas Chopin

    Jupyter Notebook 1

  4. Reinforcement-Learning-Assignments Reinforcement-Learning-Assignments Public

    Assignments for Reinforcement Learning 2018/2019 class of the ENS MVA Master. Professors : Alessandro Lazaric and Matteo Pirotta

    Jupyter Notebook 2 1

  5. Probabilistic-Context-Free-Grammar-Parser Probabilistic-Context-Free-Grammar-Parser Public

    A Probabilistic Context Free Grammar Parser for French based on CYK algorithm

    Python 2 2

  6. Handwritten-Text-Generation Handwritten-Text-Generation Public

    Handwriting Generation using multi layer LSTM Mixture Density Network with Pytorch

    Python 4 1