About

I hold both a Master’s degree in Computer Science (GPA 5.39) and a Bachelor’s degree in Computer Science (GPA 5.47) from EPFL. My academic journey and project experience have focused on machine learning, natural language processing, and data analytics. I’ve worked on a variety of projects and taken advanced courses exploring topics such as modeling pipelines, experiment design, and applied data analysis.

Skills

• Python (pandas, NumPy, scikit-learn)
• Java (academic projects, internships)
• ML & MLOps (NLP, fine-tuning, recommender systems, class imbalance, Weights & Biases, MLflow)
• Advanced ML (RAG, GraphRAG, embedding-based retrieval, model evaluation)
• Data (Postgres, Neo4j)
• Web & Prototyping (Angular, FastAPI, Next.js)
• Tooling (uv by Astral, modern Python packaging & environment management)