Hamza Ouhssaine

- Build and deploy Generative AI solutions (LLM, RAG, AI agents) for finance and accounting processes - Analyze large-scale financial datasets to extract insights and improve business performance - Collaborate with finance, IT, and business stakeholders to translate needs into data-driven solutions - Automate financial processes such as reporting ...

Leverage state-of-the-art computer vision techniques to : - recognize products’ ids from images with a character error ratio of 0.098%. - control steel cooling process. - products anomaly detection. - detect water and defects in support rolls during the steel continuous casting.

Big data engineer at Amadeus revenue management departement : - ETL creation and maintenance. - Code testing and production deployment . - Airlines we worked with : Southwest, Polish Airlines, Singapore Airlines, Kuwait Airways ...

- Optical Character Recognition for specific administrative documents using state-of-the-art technology for documents' OCR. Architecture based on LSTM, CNN neural networks and Tranformers. - Develop an API to recognize the tax reports and compute the financial score of a company. - Detection of fraud/non-payment in the field of consumer credit using machine learning algorithms and open data (INSEE's platform) - Corrective maintenance of the prediction's models.

Deep Learning for steganalysis; detection of hidden messages in images : - Using a deep architecture of residual neural networks; ResNet12. - Channel pruning CALPA-NET for the ResNet12 model.

Creating a Web platform to collaborate efforts around the world to keep biodiversity everywhere. The platform allows people to create and maintain projects with the same goal in all corners of the globe.