Dhia eddine Bach Chaouch
@dhiaeddinebachchaouch
I build production-ready AI recommendation and RAG systems for business decisions.
What I'm looking for
At Attijari Bank Tunisia, I built an end-to-end Next Best Action recommendation system that helps banking advisors prioritize client interactions. I combined an XGBoost event-detection classifier with a FAISS, Sentence Transformers, and Llama 3.1 RAG pipeline, achieving 76.4% F1 and a 99.1% false-positive reduction.
I also built and deployed Dockerized Flask microservices, migrated LLM serving to Groq-hosted Llama 3.1 for reliable low-latency inference, and previously engineered PostgreSQL data warehousing and automated forecasting pipelines at Tunisair. My work spans machine learning, GenAI, data engineering, and PyTorch-based Transformer development.
Experience
Work history, roles, and key accomplishments
AI Engineering Intern
Attijari Bank Tunisia
Feb 2026 - Jun 2026 (4 months)
Designed and built an end-to-end Next Best Action recommendation system for banking advisors, combining XGBoost with a RAG pipeline. Containerized microservices with Docker and deployed a Flask REST API.
Education
Degrees, certifications, and relevant coursework
ISG Tunis
Master of Science, Data Science
2024 - 2026
Grade: Mention Très Bien
Pursued a Professional Master's in Data Science for Business with an AI specialization, graduating with honors (Mention Très Bien).
ISG Tunis
Bachelor of Science, Management Information Systems
2021 - 2024
Earned a Bachelor's degree in Management Information Systems with a focus on Business Intelligence.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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