Open to opportunities

Aymen Besbes

@aymenbesbes1

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Junior AI engineer skilled in ML model development, fine-tuning, and deployment with strong software foundations.

Tunisia

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What I'm looking for

I seek a role where I can build and deploy applied AI/NLP systems, work with LLMs, and contribute to reproducible ML pipelines in a collaborative, growth-focused team.

I am a Junior AI Engineer with hands-on experience developing, fine-tuning, and deploying machine learning models, particularly in NLP and anomaly detection for automotive systems. I combine a strong software development background with proficiency in Python and core ML libraries to build performant, production-ready solutions.

My achievements include delivering AUTOSAR-based automotive applications, creating a SilKit simulation platform, and producing an ensemble anomaly detector with an 85% F1-score. I enjoy working on applied AI projects—LLMs, speech-based diagnostics, and real-time deployment—and I prioritize reproducible pipelines and measurable impact.

Experience

Work history, roles, and key accomplishments

Software Engineer

Primatec Engineering

Oct 2024 - Feb 2025 (4 months)

Developed three AUTOSAR automotive applications and a SilKit-based simulation platform, resolving synchronization issues that reduced latency by 15% and automated QA workflows via GitLab CI/CD.

AUTOSAR)SilKit Gitlab CI Simulation C++Embedded Systems Debugging Performance Optimization

Machine Learning Intern

Primatec Engineering

Feb 2024 - Sep 2024 (7 months)

Collected and preprocessed 6GB+ of automotive Android logs, engineered NLP features, and built an ensemble of five anomaly-detection models achieving 85% F1 and 84% precision; deployed a desktop app that cut manual review time by 60%.

NLP Anomaly Detection scikit learn GridSearchCV Data Visualization Python

Education

Degrees, certifications, and relevant coursework

National School of Computer Sciences

Master’s Degree, Computer Science Engineering

2021 - 2024

Completed a Computer Science Engineering (Master's) program focusing on software and machine learning engineering from September 2021 to September 2024.