Résumé
As a passionate advocate for leveraging cutting-edge technologies to benefit humanity, I aim to apply my expertise in AI, machine learning, and data science to tackle critical environmental challenges and accelerate the global energy transition toward a sustainable future.
Expériences professionnelles
Data scientist intern
AXA , Dublin 1 - Stage
De Avril 2024 à Septembre 2024
Built a Retrieval-Augmented Generation (RAG) pipeline for general purposes (based on LLMs)
Developed a Streamlit app based on a ReAct Agent using RAG tools and others
Benchmarked different LLMs to understand their strengths and suitability for insurance
applications using text analytics and automated information extraction
Data scientist intern
Teraki , Berlin - Stage
De Juin 2023 à Août 2023
Explored state-of-the-art models for object detection and classification in 3D (using Doppler as
the channel size and Range-Azimuth map as a B&W image)
Built an enhanced dataset to feed a ResNet model
Designed an advanced radar pipeline using time and doppler demodulation (published a paper in
the IEEE Sensors Letters Journal)
Formation complémentaire
MPhil Energy Technologies
University of Cambridge - Energy Engineering
2024 à 2025
Relevant Coursework: Renewable Electrical Power, Turbomachinery, Nuclear Power
Engineering, Climate Change Mitigation, Energy Efficiency and Systems, Future Fuels.
Thesis: "Renewable Energy Production Forecasting using AI-based Weather Forecasting models".
(In partnership with EDF R&D)