2
Years of experience
20
Projects completed
I am a passionate AI enthusiast, currently working as an AI Engineer at Inetum. My journey in the field of AI began with a Master's degree in Data Science, which laid a strong foundation for my understanding of AI and its applications. Over the years, I have developed a variety of tools and applications that leverage AI, including web applications that utilize Natural Language Processing (NLP) tools.
My expertise lies in training and deploying Machine Learning models, a field also known as MLOps. I am proficient in fine-tuning Large Language Models (LLMs) and applying Retrieval Augmented Generation (RAG) to enhance the accuracy and reliability of generative AI models with facts fetched from external sources.
2
Years of experience
20
Projects completed
Recommended systemes | Dimensionality reduction | Time series| Mixture models
Machine learning | Deep Learning | Massive data mining | Business intelligence
Master International Francophone double degree with the Master: EID2" at the Galilee Institute of the “Sorbonne Paris Nord“ University.
Java / JEE | Mobile web & Web design | Oracle Database | Cisco Networking
Software Engineering
C, Java programming | Object-oriented programming (OOP) | Databases | WEB programming
Paris, France
Developed a RAG system with Montpellier Metropole to answer questions about city council meeting minutes and deliberations using a locally hosted OpenAssistant (Pythia 12B)
Training, fine-tuning, and deploying AI models to solve complex business problems.
Developing specialized chatbots with open-source LLMs: Llama2, Falcon, Mistral, BLOOM, Pythia...
Tackling NLP tasks: NER, Topic Modeling, Email Classification, Keyword Extraction, Summarization, Q&A Generation...
Utilizing MLOps tools: Docker, Kubernetes, Kubeflow, MLFlow, MinIO...
Paris, France
Worked on Automatic Post-Editing of Neural Machine Translation Outputs.
Proposed a method to automatically post-edit and correct output of MT system.
Improved the method to work with multi-lingual Machine Translations.
Paris, France
Internship as part of an Erasmus+ mobility on the subject: Supervised collaborative learning from privileged information
Provided both theoretical and algorithmic solutions to multi-model collaborative learning problems using Machine Learning approaches.
Published a scientific article: https://ieeexplore.ieee.org/document/9780896
Fez, Morocco
Developing a Real-Time Taxi App with Django Channels and Angular
Tools used: Python, Django, Django Channels, HTML, CSS, JavaScript, Bootstrap
Showcasing some of my projects. I will be uploading more in the future.
Paris, France