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2 anos de experiencia

Competencias

Python SQL Scikit-learn Pandas NumPy Transformers XLM-RoBERTa LangChain FastAPI Docker Git Computer Vision Embedded Inference Prompt Engineering Team Collaboration

Experiencia

Machine Learning Engineer Intern

STB Bank

2026-02 - 2026-08

Built an evaluation harness for a production Retrieval‑Augmented Generation assistant, measuring faithfulness, relevance and recall across a 2,006‑passage corpus and identifying three systematic retrieval failures before deployment. Designed an agentic banking assistant that autonomously resolved 70 % of customer queries, escalating the rest via confidence and keyword triggers. Improved classification Macro F1 to 0.82 by fine‑tuning XLM‑RoBERTa in a hierarchical pipeline handling 28 k multilingual tickets (French, Arabic). Fixed data‑leakage issues through LLM‑based augmentation and resampling, preserving model integrity. Engineered the retrieval stack on ChromaDB with multilingual MiniLM embeddings and Gemini 2.5 Flash generation, and shipped the inference service using Python, PyTorch, FastAPI, PostgreSQL and WebSockets, adding deterministic domain rules, NLI validation and LLM arbitration for low‑confidence cases.

Computer Vision Intern

SUNEVIT

2024-02 - 2024-06

Deployed a real‑time facial recognition and driver‑fatigue detection system on a Raspberry Pi 4, achieving 92 % detection accuracy at 16 FPS. Built the end‑to‑end pipeline from data collection to on‑device inference, optimizing model size to meet embedded memory constraints and keeping inference latency under 200 ms per frame. Integrated the vision system with a mobile application to automatically adjust vehicle seats, closing the loop from detection to physical actuation.

Formacion

Master's Degree in Data Science, Faculty of Sciences of Bizerte

Idiomas

Francais

fluent

Arabic

fluent

English

fluent

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