🚀 Data Scientist focused on Deep Learning, NLP, and LLM Fine-Tuning
🧩 I build end-to-end ML systems: data → model → evaluation → deployment
🧠 Passionate about Generative AI, RAG architectures, vector databases & modern LLM tooling
📚 Currently diving deeper into RAG architectures, LLM fine-tuning techniques, and agentic AI workflows.
🎯 I love transforming ideas into real AI apps using Streamlit, FastAPI & cloud platforms
- Develop and ship AI-powered applications
- Experiment with models, data, and architectures
- Continuously learn by building, refining, and scaling projects
- DSA Signature — Interactive DSA demo (manual math + Web Crypto), EN / FR. Repo
- Simplex Solver — Interactive Simplex visualizer for linear programs (EN / FR). Repo
- T5 Multi-Task NLP — One T5 model for translation, summarization, Q&A, and grammar.
- Sleep Analysis — Streamlit app on sleep health, activity, and stress.
- Climate Risk — Deep learning for climate risk assessment.
GitHub: https://github.com/hadbiaghiles