Open to opportunities

BENAMEUR TAREK

@benameurtarek

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I build production-oriented AI systems that turn research into scalable software.

Algeria

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What I'm looking for

I'm looking to build reliable, scalable AI systems that transform research into real-world software, particularly across LLM applications, AI evaluation, semantic search, MLOps, and production deployment.

I've built production-oriented AI applications at DIDATA, including a system that turns natural-language queries into structured outputs for a business LIMS platform and an intelligent code-generation assistant using internal documentation. I also created a custom evaluation framework for output correctness and automated deployment to an EC2-hosted service with Bitbucket Pipelines, Jenkins, and scheduled model deployment.

My work spans deep learning for brain-tumor MRI classification at CERIST, NLP sentiment analysis, and AI projects in multimodal document indexing, YOLO-based shelf analysis, adversarial robustness, and optimization algorithms. I bring hands-on experience with LLMs, RAG, semantic search, MLOps, and backend APIs.

Experience

Work history, roles, and key accomplishments

AI Engineering Intern

DIDATA

Oct 2025 - Jun 2026 (8 months)

Developed an AI system transforming natural language queries into structured outputs for a business LIMS platform, including a custom evaluation framework. Built an intelligent assistant for automated code generation and set up a CI/CD pipeline with automated model deployment.

AI Natural Language Processing CI CD Bitbucket Pipelines Jenkins Python

Deep Learning Intern

CERIST

Jul 2024 - Aug 2024 (1 month)

Developed deep learning models for brain tumor classification from MRI scans using PyTorch, including data preprocessing, augmentation, training, and model evaluation.

Deep Learning PyTorch Medical Imaging data preprocessing Model Evaluation