Machine Learning Engineer with a background in Electrical Engineering. Skilled in Python, TensorFlow, and PyTorch, with hands-on experience developing and deploying AI models through academic research and industry collaboration. Passionate about applying machine learning to solve real-world problems and delivering data-driven impact.

Saman Gharagozlou

Machine Learning Engineer with a background in Electrical Engineering. Skilled in Python, TensorFlow, and PyTorch, with hands-on experience developing and deploying AI models through academic research and industry collaboration. Passionate about applying machine learning to solve real-world problems and delivering data-driven impact.

Available to hire

Machine Learning Engineer with a background in Electrical Engineering. Skilled in Python, TensorFlow, and PyTorch, with hands-on experience developing and deploying AI models through academic research and industry collaboration. Passionate about applying machine learning to solve real-world problems and delivering data-driven impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
French
Beginner
Dutch
Beginner

Work Experience

Machine Learning Engineer – MSc Thesis at DAF Trucks N.V.
January 1, 2025 - Present
Developed ML models to predict part quality using CAD features, process parameters, and inspection data. Applied feature engineering and SHAP explainability to improve defect detection accuracy. Explored integration for real-time detection to reduce manual inspections.
MSc Thesis at Hanze University
January 1, 2025 - October 15, 2025
Intelligent E-Bike Detection Using Interval Type-2 Fuzzy Logic. Utilized sensor data (including accelerometer readings) to improve prediction accuracy. Implemented Interval Type-2 Fuzzy Logic algorithm using sensor data for theft prediction. Collaborated with cross-functional teams.
Freelance AI/ML Engineer at Research Projects
January 1, 2022 - Present
Designed and trained ML models (Python, TensorFlow, PyTorch) with high predictive accuracy. Built NLP and computer vision applications (sentiment analysis, object detection, image classification). Deployed models via Docker and REST APIs for scalable production use.
Smart Systems Project - Bachelors Thesis at Azad University of Science and Research
January 1, 2023 - October 15, 2025
Designed and developed an AI-enhanced embedded system for automation. Implemented and tested firmware in Embedded C for microcontroller-based control systems. Integrated microcontrollers and real-time data processing for intelligent decision-making.

Education

MSc Smart Systems Engineering at Hanze University, Netherlands
January 11, 2030 - January 1, 2026
BSc Electrical Engineering at Azad University of Science & Research, Iran
January 11, 2030 - January 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Professional Services