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I have completed a Master's degree in Embedded Systems at the University of Freiburg, specializing in computer vision, deep learning, and machine learning, with a focus on practical applications. At BMW, I worked as a research intern in deep learning, where my master’s thesis focused on radar data segmentation and classification using cutting-edge techniques. I have also worked as a software developer, enhancing my technical skills by designing complex algorithms and contributing to projects involving LiDAR and high-resolution imaging to improve multi-material diagnostics. I am passionate about applying my skills in real-world projects and am always eager to expand my knowledge. I enjoy working with advanced technologies and am currently seeking a full-time position to contribute and grow professionally.…I have completed a Master's degree in Embedded Systems at the University of Freiburg, specializing in computer vision, deep learning, and machine learning, with a focus on practical applications. At BMW, I worked as a research intern in deep learning, where my master’s thesis focused on radar data segmentation and classification using cutting-edge techniques. I have also worked as a software developer, enhancing my technical skills by designing complex algorithms and contributing to projects involving LiDAR and high-resolution imaging to improve multi-material diagnostics. I am passionate about applying my skills in real-world projects and am always eager to expand my knowledge. I enjoy working with advanced technologies and am currently seeking a full-time position to contribute and grow professionally.

Narges Dastanpour Hosseinabadi

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I have completed a Master's degree in Embedded Systems at the University of Freiburg, specializing in computer vision, deep learning, and machine learning, with a focus on practical applications. At BMW, I worked as a research intern in deep learning, where my master’s thesis focused on radar data segmentation and classification using cutting-edge techniques. I have also worked as a software developer, enhancing my technical skills by designing complex algorithms and contributing to projects involving LiDAR and high-resolution imaging to improve multi-material diagnostics. I am passionate about applying my skills in real-world projects and am always eager to expand my knowledge. I enjoy working with advanced technologies and am currently seeking a full-time position to contribute and grow professionally.…I have completed a Master's degree in Embedded Systems at the University of Freiburg, specializing in computer vision, deep learning, and machine learning, with a focus on practical applications. At BMW, I worked as a research intern in deep learning, where my master’s thesis focused on radar data segmentation and classification using cutting-edge techniques. I have also worked as a software developer, enhancing my technical skills by designing complex algorithms and contributing to projects involving LiDAR and high-resolution imaging to improve multi-material diagnostics. I am passionate about applying my skills in real-world projects and am always eager to expand my knowledge. I enjoy working with advanced technologies and am currently seeking a full-time position to contribute and grow professionally.

Available to hire

I have completed a Master’s degree in Embedded Systems at the University of Freiburg, specializing in computer vision, deep learning, and machine learning, with a focus on practical applications. At BMW, I worked as a research intern in deep learning, where my master’s thesis focused on radar data segmentation and classification using cutting-edge techniques. I have also worked as a software developer, enhancing my technical skills by designing complex algorithms and contributing to projects involving LiDAR and high-resolution imaging to improve multi-material diagnostics.

I am passionate about applying my skills in real-world projects and am always eager to expand my knowledge. I enjoy working with advanced technologies and am currently seeking a full-time position to contribute and grow professionally.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Persian

Fluent

English

Fluent

German

Intermediate

Work Experience

Research Assistant at Hochschule München

June 30, 2025 - July 25, 2025

Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance. Developed an NLP-based medical note simplifier transforming complex clinical instructions into plain, child-level English using Flan-T5 transformer models, with dual Flask and Tornado backends and a printable web interface.

Software Developer at Bertrandt Ingenieurbüro GmbH

April 30, 2024 - July 25, 2025

Developed and implemented deep learning models for anomaly detection in time series data in collaboration with BMW using Python, TensorFlow, and PyTorch.

Internship at Expleo

July 31, 2023 - July 25, 2025

Worked on the Safe2P research project focused on increasing pedestrian safety and automated parking through localization and object detection using radar, lidar, and camera data. Utilized Python, TensorFlow, PyTorch, ROS, Git, and ISO 26262 standards.

Master Thesis Student at Bayerische Motoren Werke AG (BMW)

March 31, 2023 - July 25, 2025

Conducted segmentation and classification of automotive radar data by accumulating detections from multiple radar cycles to generate rich point clouds and applying image processing and machine learning techniques to identify small or uniquely shaped objects that mainstream radar algorithms cannot detect. Ensured codebase compliance with Failure Mode and Effects Analysis (FMEA) standards.

Internship (Praktikum) at BMW

April 30, 2022 - July 25, 2025

Contributed to the implementation and optimization of FMVSS201u-related deep learning models. Explored different neural network architectures and pre-trained models focusing on enhancing model accuracy and investigating alternative coding strategies.