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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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eliottvalette/README.md

Eliott Valette

Graduate Student — HEC Paris × ENSAE
Machine‑Learning & Front‑End Enthusiast

Profile

I merge a quantitative background in mathematics and economics with hands‑on expertise in both AI research and advanced web engineering. My dual curriculum (HEC for business, ENSAE for statistics) lets me drive projects from prototype to production—whether the end product is a predictive model, an interactive 3‑D demo, or a full‑stack ML platform.

Core interests:

  • Representation learning for vision and tabular data
  • Reinforcement learning and embodied AI
  • High‑performance, immersive web apps (React / Next.js / Three.js)
  • End‑to‑end ML pipelines, CI/CD and MLOps

Selected Skills

Domain Tools & Frameworks
Programming Python (advanced), TypeScript/JavaScript, SQL
ML / DL PyTorch, TensorFlow/Keras, scikit‑learn, LightGBM
Front‑End & 3‑D Next.js, React, Three.js, WebGL, Tailwind CSS
Data & Viz pandas, NumPy, seaborn/Matplotlib, Plotly
MLOps / DevOps Docker, Kubernetes (basics), MLflow, GitHub Actions
Misc. LaTeX, C fundamentals, VBA

Contact
E‑mail [email protected]
LinkedIn https://www.linkedin.com/in/eliott-valette/
Kaggle https://www.kaggle.com/eliottvalette
LeetCode https://leetcode.com/eliottvalette/

Last updated: July 2025

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  1. Physics-Engine-in-C Physics-Engine-in-C Public

    Simulate various physics-based systems, including multiple pendulums, using different C-based engines. Each simulation outputs results to a CSV file, which can be visualized using the provided Pyth…

    C 3

  2. ISIC-2024-Hackathon ISIC-2024-Hackathon Public

    This repository contains the implementation for the ISIC-2024 Hackathon challenge. The primary focus is on developing and optimizing models to predict skin lesion classifications using advanced mac…

    Jupyter Notebook 1

  3. MCP-HACKTHON MCP-HACKTHON Public

    MCP-first Clash Royale demo for Mistral AI’s MCP Hackathon using Le Chat. A Next.js UI faces an MCP agent that reads structured state, calls bounded tools (create/join/spawn/emote), and plays in re…

    TypeScript 3

  4. 3D-Physics-Engine 3D-Physics-Engine Public

    Lightweight Python 3D physics engine + RL sandbox: a from-scratch rigid-body quadruped with articulated joints, custom collision/contacts, and a Pygame renderer at 240 Hz. Train an actor-critic age…

    Python 1

  5. Poker-GTO Poker-GTO Public

    Experimental 3‑handed NLHE GTO bot: CFR+ external-sampling solver with compact infosets, average policy export, a PyTorch model that approximates the policy, and a Next.js UI to explore results. In…

    TypeScript 1

  6. Fighting-Tanks-Reinforcement-Learning Fighting-Tanks-Reinforcement-Learning Public

    Multi-Agent Tank Battle Game: A multi-agent reinforcement learning project where intelligent tanks compete and learn in a dynamic battlefield. Features advanced RL strategies, customizable environm…

    Python 3