Python
Project / experienceBrainSeg AI ↗
PyTorch pipeline
Fraud Detection MLOps ↗
ML experimentation
Chargement / Loading
SKILL → PROJECT → RESULT
Explore the connections between technologies, projects and results. Studied concepts remain identified as such.
PyTorch pipeline
ML experimentation
Attention U-Net / BraTS 2020
0.8180 Average DiceTumor segmentation
0.8180 Average DiceX-ray classification
81.25% Validation accuracy, epoch 8Attention U-Net
MobileNetV2
Random Forest / synthetic transactions
CrewAI / LangChain / Claude
Local orchestration
9 Operational agentsWorkflow CrewAI
RAG / ChromaDB / LangChain
LLM-assisted analysis
Claude / exercise generation
LLM text generation; no NLP model training claimed
Tracking / registry / versioning
Experiment Tracking / Model Registry
Data versioning
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
RDDs / DataFrames / partitions (academic)
PySpark fundamentals
Studied concepts
Relational database used during the TRAGEM internship. Exact engine to confirm.
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
Containerized local architecture
Code / data versioning
Local Ubuntu environment
Multilingual interface
Backend Node.js / Express
AI API integration
Application React / Node.js
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.
Technology reported as studied or used; specific project evidence to complete.