Senior Data Scientist · Machine Learning Engineer
MSc Data Science · NLP / RAG · Graph ML · Full-Stack
Yaoundé, Cameroon · Open to remote roles worldwide (CET / GMT+1 overlap)
I design and ship ML systems end-to-end: from data and modelling to deployment and database operations. My recent work centres on retrieval-augmented generation (RAG) in French, graph-based feature engineering for imbalanced classification, and cost-sensitive learning applied to credit risk.
I also train and mentor engineers on applied ML, full-stack development and Linux systems programming.
- 🇫🇷 EvalLLM 2026 — Team SourcesÛres · French RAG evaluation challenge (LlamaIndex, bge-m3, FAISS, cross-encoder rerank, Mistral-7B) — targeting Task 1 (QA) and Task 2 (attribution).
- 🧠 Neural networks from scratch in NumPy · forward/backward pass, Dense, Dropout, BatchNorm, RNN, LSTM, GRU — for engineering clarity and teaching.
- 📊 Cost-sensitive credit-risk prediction with multilayer bipartite graphs · MSc thesis extension submitted to Data Mining and Knowledge Discovery (DMKD), 2026.
- 🥇 1st Prize, CONIA 2025 Hackathon — plant-disease classifier (YOLOv11s, sub-50 ms inference) deployed as an offline-first PWA.
- 🥇 Best Project, I3AFD 2026 Thematic School — French-language RAG pipeline.
- 🏅 Best Scientific Poster, I3AFD 2026 — cost-sensitive credit risk with multilayer bipartite graphs.
- 🥈 2nd Prize, CANAM AI Competition 2023 — data analysis and ML.
- 📄 Publication: International Journal of Computer Applications, 186(78), 2025. DOI: 10.5120/ijca2025924642
ML / Data Science · Python · scikit-learn · XGBoost · PyTorch · TensorFlow · NumPy · Pandas · NetworkX · SHAP NLP / LLM / RAG · LlamaIndex · LangChain · FAISS · Hugging Face Transformers · BAAI/bge-m3 · Mistral · BERT / RoBERTa Data & Infra · PostgreSQL · MongoDB · Neo4j · Supabase · advanced SQL · schema migration Software & MLOps · Vue.js / Nuxt 3 · Node.js · Express · Flask · FastAPI · Docker · Git · CI/CD · PM2 · Nginx
- 💼 Senior Data Scientist / ML Engineer / AI (RAG/LLM) Engineer · full-time remote, worldwide
- 🤝 Long-term freelance missions on ML, RAG and data-intensive systems
- 🎓 Applied research collaborations on graph ML, RAG evaluation and explainability
📬 Best way to reach me: viclegranddab@gmail.com · LinkedIn