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leg234-png/README.md

Hi, I'm Emmanuel Wandji ๐Ÿ‘‹

AI & Data Science engineering student I build machine learning models, LLM agents and RAG systems, and I care about how they are evaluated: baselines, metrics, error analysis and avoiding data leakage.

๐Ÿ”ญ What I work on

  • Machine learning & data analysis: classification, regression, time series, ranking, feature engineering, model evaluation
  • LLM agents & RAG: multi-agent pipelines (LangGraph, LangChain), tool use, semantic search with embeddings, hybrid retrieval
  • Computer vision & signal processing: object detection and tracking (YOLO), acoustic signal classification, inertial sensor data, CNNs
  • Experimentation: reproducible pipelines, grouped cross-validation, NDCG / MRR / recall@k, error analysis

๐Ÿš€ Featured projects

Project What it does Stack
travel-search-agent LLM agent that turns travel requests into SQL searches, ranks flights with a learned ranker (NDCG@5 0.89 vs 0.41 for price sorting) and gives grounded recommendations Python, SQL, scikit-learn, LangGraph, OpenAI/Mistral
rag-agents-semantic-search ReAct agent with tools and verified citations over a document base; BM25 vs dense vs hybrid (RRF) retrieval benchmark; FastAPI service Python, embeddings, BM25, LangGraph, FastAPI
email-triage-agents Multi-agent email triage (intent, priority, sender) with a reviewer agent and human escalation, benchmarked against a TF-IDF baseline with a leakage-free split Python, LangGraph, scikit-learn, Pydantic
pubcam-yolo Real-time vehicle detection, tracking and counting on public online cameras (YouTube live, HLS, MJPEG, RTSP) with a virtual counting line, CSV export and Docker image Python, YOLO11, OpenCV, ByteTrack, Docker

๐Ÿ› ๏ธ Tech stack

Languages Python SQL C++ Java JavaScript

ML / Data PyTorch TensorFlow scikit-learn Pandas NumPy OpenCV Jupyter

LLM & agents LangChain LangGraph OpenAI Mistral RAG

Engineering FastAPI Docker Git Linux

Experience

  • IRIT (Toulouse, 2026): research intern, multimodal analysis & NLP (TF-IDF, LLM pseudo-labelling, reproducible experiments)
  • TAEP (2025โ€“2026): deep learning instructor for company projects (neural networks, CNN, NLP)
  • BandeSoft (2024โ€“2025): AI intern, LLM agents for test scenario generation and prioritisation
  • YowYob Inc (2024): ML intern, AI agents, feature engineering, predictive models

Contact

LinkedIn Email

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