Summary
Siwar Abbes is a GenAI engineer and senior data scientist based in Paris with six years of experience building production-ready ML systems for enterprise and startup contexts. She has led end-to-end generative AI projects in hospitality—designing NLP-driven hotel search, a LangChain/Bedrock conversational app, and benchmarking LLMs with SageMaker and MLflow—while also shipping FastAPI/Docker backends and Snowflake data pipelines. Comfortable moving models to production, she implemented CI/CD in GitLab and deployed services on AWS ECS, and has hands-on experience in web crawling, CV deduplication, and transformer-based summarization from earlier R&D work. A collaborative team player and occasional instructor, she balances technical leadership with scrappy implementation and has a published paper on automatic text summarization. Notably, she has bridged consulting and product roles, sustaining both client-facing generative AI strategy and low-level engineering delivery.
6 years of coding experience
6 years of employment as a software developer
High School Diploma Mathematics, High School Diploma Mathematics at Bardo high school
Engineer's degree Data Science., Engineer's degree Data Science. at Télécom Paris
Diploma of university Studies of first cycle in Mathematics and Physics, Diploma of university Studies of first cycle in Mathematics and Physics at Preparatory institute of engineering studies of Tunis (IPEIT).
Engineer's degree, Engineer's degree at SUP'COM
Master M2 Data science, Master M2 Data science at École Polytechnique
French, English, Spanish, German