Hi — I’m Max Ghadri, M.Sc.    

AI Scientist

I’m an AI scientist and former Airbus engineer focused on building reliable, production-ready AI systems.

My work covers retrieval-augmented generation (RAG), AI agents, LLM infrastructure, evaluation, knowledge graphs, and applied machine learning. I’m particularly interested in the engineering challenges that appear after the prototype stage—reliability, security, observability, latency, cost, and human oversight.

What you'll find here

1. RAG Implementation Production-style RAG pipelines for document indexing into Qdrant and retrieval benchmarking with dense, BM25, and hybrid search.
2. Non Question Proficiency Evaluation Knowledge Tracing models (SAINT+, LBKT, AKT) for estimating learner proficiency from video, reading, and interactive engagement signals.
3. Second Harmonic Generation Open-source Fortran toolkits for thermal effects, phase mismatch, and coupled field modeling in nonlinear optics (FDM-based).
4. SaveBirds.app Open-source bird atlases for North American species, generated from Breeding Bird Survey (BBS) data.

More public repos on SLM fine-tuning, Agentic AI, Knowledge Graphs, and other production AI projects are coming soon.