Data Scientist at CEGID

Architected and implemented RAG pipelines using LLMs and Azure OpenAI, combining semantic and hybrid retrieval, optimized chunking strategies, and re-ranking for improved answer accuracy. Developed production-grade PromptFlow pipelines integrating vector search, structured data sources, and enterprise documents for real-world business use cases. Built scalable invoice benchmarking pipelines with Azure Document Intelligence and Azure Blob Storage; implemented canonicalization and normalization of OCR outputs (VAT breakdown, business identifiers, language detection); designed automated evaluation with fuzzy matching and performance metrics.

AI Engineer at MCM Systems

Built YOLOv5-based object detection models for quality inspection in industrial environments. Developed full data pipelines for image processing and defect segmentation. Created a real-time application using Python, Streamlit, and FastAPI to visualize and process LabVIEW data.

Data Analyst at TCC Center

Performed statistical analysis on operational data (call volumes, wait times, agent performance). Wrote optimized SQL queries and created automated dashboards with PostgreSQL. Improved staffing strategies through data insights and performance metrics.

AI Research Intern at CEA LITEN

Worked on predictive maintenance and heat production forecasting in district heating networks. Compared ML models (XGBoost, SVM, LSTM, Logistic Regression) for fault detection. Processed and analyzed time-series data from heat pumps, substations, and boilers.