🎓 Master's student in Big Data & IoT @ ENSAM Casablanca
🔍 Looking for a Data/AI internship (PFA, 2–3 months)
📍 Mohammedia, Morocco
- Generative AI: LLMs, RAG pipelines, Agentic AI, prompt engineering
- Data Engineering: distributed pipelines with Hadoop, Hive, Flume, ETL
- Machine Learning / Deep Learning: classical ML, NLP (TF-IDF, Word2Vec, BERT), CNN/LSTM
- Full-Stack Development: end-to-end apps from data pipeline to API to UI
Study Assistant RAG RAG system to query course materials in natural language — PyMuPDF + LangChain ingestion, ChromaDB vector search, Groq/Llama 3.1 generation, Streamlit UI.
NLP Press Article Classification End-to-end pipeline comparing TF-IDF/SVM against BERT for multi-class news classification on AG News & BBC News.
Hugging Face Model Classifier Production-ready app classifying ML projects with Hugging Face + PyTorch, served via Ray, FastAPI, and tracked with MLflow.
Smart Land — Big Data Pipeline Full-stack JEE app (Spring Boot/React) for real-time agri-environmental monitoring, with Flume → HDFS → Hive → PostgreSQL ingestion.
Languages
AI / ML / LLMs
LangChain Hugging Face Scikit-learn Keras PyTorch ChromaDB MLflow
Data & Big Data
Hadoop Apache Hive PostgreSQL MySQL MongoDB Pandas NumPy Power BI
Backend & Frameworks
Spring Boot FastAPI React Flutter Firebase
MLOps & DevOps
Docker Jenkins Git Prometheus Grafana Linux