My role is to bring my AI expertise to help developing innovative ML solutions for the Energy industry. I work on various projects related to ML and HPC:- Conduct a benchmarking project to monitor algae culture for CO2 capture using edge device and Yolov8- Build a Load and renewable forecasting ML model based on weather conditions for US market- Develop a camera-based system to detect valves on energy platforms and perform pose estimation (open/close)- Implement an LLM solution to automate scientific document analysis for Direct Capture adsorbent screening- Create a digital twin pipeline to optimize the architecture of lithium batteries for power storage capacity purpose

By building bird life monitoring system using AI and Computer Vision, my mission was to enable industry and nature to coexist.- Implement the main features of the Python based code solution (Software and hardware sides)- Set up the whole AWS Cloud pipeline- Interview candidates to find new tech team members- Participate to customer meetings to prepare the solution and be a support for the technical aspect- Pitch the company solution at renowned Energy events- Manage project organization and build roadmaps

Being part of the Machine learning & Data lab asset (MLDL) sub asset of the Data department- Build adversarial attacks on OCR system to enforce the security of Computer Vision-based internal systems - Perform a data analysis for the biggest French public railway company to explore the correlations between train delays and weather conditions- Create a ML taxonomy to develop internal knowledge

Fullstack developer

Development of a React native app from scratch used by more than 150 collaborators

Participation to the development of an innovative React app