I build RAG and multi-agent systems that run in production: retrieval, evaluation, deployment. Available for freelance missions.
| Client | What I built |
|---|---|
| Safran Aerosystems | On-premise RAG assistant on their SharePoint (LangChain + Ollama). 250+ active users, reporting time cut by an estimated 60%. |
| Air Liquide R&D Japan | RAG system for researchers: sourced answers, hallucination measurement, LLM-as-a-judge validation. |
rag-benchmark-local-vs-cloud
Local vs Azure RAG benchmark on 6,000+ chunks of scientific papers. Dense, BM25, hybrid RRF and cross-encoder reranking compared on nDCG@10, then answer quality scored on faithfulness, hallucination rate and out-of-domain abstention.
NER_for_Cyber
Named entity recognition on cybersecurity text.
credit-scoring
End-to-end credit scoring model, from data prep to evaluation.
- 🎓 MSc in Machine Learning & Deep Learning, IPSA Paris (2026)
- 🇰🇷 6 months in South Korea (Keimyung University) · 🇯🇵 6 months in Japan (Tokyo)
- 📱 Tech and AI content creator, 100K+ followers (@harlocmoi)
- 🗣️ French (native) · English C1 (TOEIC 900/990) · Spanish B2