Philippe Guerrier
Data - offline AI for music, ML engineering, and applied AI in medicine. Currently Data Analyst @ Deezer (Apr 2025–Sep 2025). Past roles at Uber (Ops Analytics) and Amazon (BI/DG). Multilingual (FR/EN/DE).
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Highlights
- PulseFlow AI - Offline music identifier & recommender (CLAP embeddings + FAISS) with smooth transitions. Runs fully on‑device.
Repo: https://github.com/Philippe-Guerrier/pulseflow-ai-offline-music-recommender - Scrape‑LLM (local) - Lightweight scraper + local LLM/vision for concise page summaries & image sampling (Ollama/HF).
Repo: https://github.com/Philippe-Guerrier/scrape-llm - Market Sentiment Dashboard - Real‑time news+Reddit pipeline with parallel sentiment and short write‑ups.
Repo: https://github.com/Philippe-Guerrier/Real-Time-AI-Powered-Market-Sentiment-Dashboard
Portfolio Highlights
- Artificial Intelligence in Medicine and Pharmaceuticals - SynthMolVAE: Gen AI for Drug Discovery + Molecule Generation using Variational Autoencoders (VAE).
Portfolio: https://sites.google.com/view/philippeguerrier/ai-in-medicine-and-pharmaceuticals - Quantum Computing - Quantum K-mean + Quantum Computing for Monte Carlo Simulation.
Portfolio: https://sites.google.com/view/philippeguerrier/quantum-computing-portfolio
Focus areas
- Offline, privacy‑preserving AI (audio/music)
- Data/ML engineering (pipelines, Airflow, SQL, Python)
- AI in medicine & pharma, and quantum/optimization
Quick Labs & Easter Eggs
ML & Deep Learning Labs
Interactive demos: A/B testing, clustering, pathfinding & probabilistic DS