Graduate Student — HEC Paris × ENSAE
Machine‑Learning & Front‑End Enthusiast
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
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 |
E‑mail | [email protected] |
https://www.linkedin.com/in/eliott-valette/ | |
Kaggle | https://www.kaggle.com/eliottvalette |
LeetCode | https://leetcode.com/eliottvalette/ |
Last updated: July 2025