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I’m Bilel Amri , an AI & Data Science Engineering student from Tunisia focused on building practical machine learning and deep learning solutions. I enjoy turning complex problems into data-driven systems, combining strong engineering fundamentals with modern AI approaches like NLP, RAG, and predictive modeling. I’ve gained hands-on experience through an AI engineering internship at OIT, where I worked on an enterprise AI support copilot using LLM orchestration, deterministic business rules, and OCR pipelines. I also build full-stack and real-time applications, such as an internship RAG chatbot and analytics projects tracked with MLflow, with a strong interest in MLOps and scalable cloud-ready architectures.…I’m Bilel Amri , an AI & Data Science Engineering student from Tunisia focused on building practical machine learning and deep learning solutions. I enjoy turning complex problems into data-driven systems, combining strong engineering fundamentals with modern AI approaches like NLP, RAG, and predictive modeling. I’ve gained hands-on experience through an AI engineering internship at OIT, where I worked on an enterprise AI support copilot using LLM orchestration, deterministic business rules, and OCR pipelines. I also build full-stack and real-time applications, such as an internship RAG chatbot and analytics projects tracked with MLflow, with a strong interest in MLOps and scalable cloud-ready architectures.

Bilel Amri

AI Engineer, Data Scientist, Data Engineer, +1

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I’m Bilel Amri , an AI & Data Science Engineering student from Tunisia focused on building practical machine learning and deep learning solutions. I enjoy turning complex problems into data-driven systems, combining strong engineering fundamentals with modern AI approaches like NLP, RAG, and predictive modeling. I’ve gained hands-on experience through an AI engineering internship at OIT, where I worked on an enterprise AI support copilot using LLM orchestration, deterministic business rules, and OCR pipelines. I also build full-stack and real-time applications, such as an internship RAG chatbot and analytics projects tracked with MLflow, with a strong interest in MLOps and scalable cloud-ready architectures.…I’m Bilel Amri , an AI & Data Science Engineering student from Tunisia focused on building practical machine learning and deep learning solutions. I enjoy turning complex problems into data-driven systems, combining strong engineering fundamentals with modern AI approaches like NLP, RAG, and predictive modeling. I’ve gained hands-on experience through an AI engineering internship at OIT, where I worked on an enterprise AI support copilot using LLM orchestration, deterministic business rules, and OCR pipelines. I also build full-stack and real-time applications, such as an internship RAG chatbot and analytics projects tracked with MLflow, with a strong interest in MLOps and scalable cloud-ready architectures.

Available to hire

I’m Bilel Amri , an AI & Data Science Engineering student from Tunisia focused on building practical machine learning and deep learning solutions. I enjoy turning complex problems into data-driven systems, combining strong engineering fundamentals with modern AI approaches like NLP, RAG, and predictive modeling.

I’ve gained hands-on experience through an AI engineering internship at OIT, where I worked on an enterprise AI support copilot using LLM orchestration, deterministic business rules, and OCR pipelines. I also build full-stack and real-time applications, such as an internship RAG chatbot and analytics projects tracked with MLflow, with a strong interest in MLOps and scalable cloud-ready architectures.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

AI Engineering Intern at Ordre des Ingénieurs Tunisiens (OIT)

June 1, 2026 - August 31, 2026

Developed AI capabilities for an enterprise AI platform using Python, FastAPI, and Large Language Models (LLMs). Designed and implemented a GLPI AI Support Copilot that combines deterministic business rules, structured application data, and Retrieval-Augmented Generation (RAG) to generate reliable draft responses with human-in-the-loop workflows. Built modular AI components for intent classification, evidence construction, validation pipelines, and AI orchestration. Implemented OCR pipelines using PaddleOCR to extract structured information from official engineering documents. Integrated AI services with enterprise systems via REST APIs with a secure, maintainable, and scalable architecture.