I'm a Machine Learning & Data Science student at CentraleSupélec (Université Paris-Saclay), currently part of the elite Digital Tech Year program. I work on real-world AI prototypes through intensive industry sprints at the Paris Digital Lab.
I enjoy designing intelligent systems from RAG pipelines and NLP applications to full‑stack AI tools. I love building things end‑to‑end and turning ideas into working solutions.
Currently looking for a 6‑month Machine Learning / Data Science internship starting March 2026, ideally in an international and innovation‑driven environment.
- NLP, LLM applications, Retrieval‑Augmented Generation (RAG)
- Predictive modeling (XGBoost, MLP, RandomForest)
- Computer Vision (YOLOv1 reimplementation, denoising models)
- FastAPI, React.js, Three.js
- End‑to‑end architecture for AI prototypes
- Docker, Kubernetes, DevOps basics
- Pandas, SQL, Milvus
- Data processing, pipelines, evaluation, metrics
Designed an AI-powered internal knowledge assistant for retrieving technical documentation using natural language queries.
- LangChain, Ollama, Milvus
- React interface, Docker, Kubernetes
- End‑to‑end RAG pipeline & deployment
Web-based tool generating interactive 3D playable ads.
- React frontend + FastAPI backend
- Three.js rendering, asset processing pipelines
- Generation of optimized JavaScript playables
- Financial text scraping & sentiment analysis (LLM-based)
- Trend prediction using classical ML models
- Full PyTorch reimplementation based on the original paper
- Object detection pipeline built end‑to‑end
Languages: Python, JavaScript, SQL, HTML/CSS ML Frameworks: PyTorch, scikit-learn, Hugging Face Backend: FastAPI, Django Frontend: React.js, Three.js Infrastructure: Docker, Kubernetes Other: Git, Blender, Milvus, LangChain
- Strengthen my expertise in Machine Learning engineering
- Contribute to impactful AI products
- Build clean, scalable, and intelligent systems
I'm always open to collaborating on ambitious AI or software projects. Feel free to create issues, submit PRs, or reach out!
Email: ppeytevin@gmail.com LinkedIn: link
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