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Hi, I'm Saad Mannan, a passionate software and signal processing engineer with a background in electrical and communication engineering. I specialize in machine learning, deep learning, and audio signal processing, and have experience developing advanced algorithms for electromagnetic scattering problems and sensor fusion. I enjoy optimizing and validating complex systems, especially in the automotive sector. With hands-on experience working on projects for companies like Audi, EDAG Engineering, Magna International, and Continental, I have developed strong skills in Python, C/C++, and multiple tools and frameworks. I’m always eager to learn new technologies and grow my skill set while contributing to innovative solutions.…Hi, I'm Saad Mannan, a passionate software and signal processing engineer with a background in electrical and communication engineering. I specialize in machine learning, deep learning, and audio signal processing, and have experience developing advanced algorithms for electromagnetic scattering problems and sensor fusion. I enjoy optimizing and validating complex systems, especially in the automotive sector. With hands-on experience working on projects for companies like Audi, EDAG Engineering, Magna International, and Continental, I have developed strong skills in Python, C/C++, and multiple tools and frameworks. I’m always eager to learn new technologies and grow my skill set while contributing to innovative solutions.

Saad Mannan

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Hi, I'm Saad Mannan, a passionate software and signal processing engineer with a background in electrical and communication engineering. I specialize in machine learning, deep learning, and audio signal processing, and have experience developing advanced algorithms for electromagnetic scattering problems and sensor fusion. I enjoy optimizing and validating complex systems, especially in the automotive sector. With hands-on experience working on projects for companies like Audi, EDAG Engineering, Magna International, and Continental, I have developed strong skills in Python, C/C++, and multiple tools and frameworks. I’m always eager to learn new technologies and grow my skill set while contributing to innovative solutions.…Hi, I'm Saad Mannan, a passionate software and signal processing engineer with a background in electrical and communication engineering. I specialize in machine learning, deep learning, and audio signal processing, and have experience developing advanced algorithms for electromagnetic scattering problems and sensor fusion. I enjoy optimizing and validating complex systems, especially in the automotive sector. With hands-on experience working on projects for companies like Audi, EDAG Engineering, Magna International, and Continental, I have developed strong skills in Python, C/C++, and multiple tools and frameworks. I’m always eager to learn new technologies and grow my skill set while contributing to innovative solutions.

Available to hire

Hi, I’m Saad Mannan, a passionate software and signal processing engineer with a background in electrical and communication engineering. I specialize in machine learning, deep learning, and audio signal processing, and have experience developing advanced algorithms for electromagnetic scattering problems and sensor fusion. I enjoy optimizing and validating complex systems, especially in the automotive sector.

With hands-on experience working on projects for companies like Audi, EDAG Engineering, Magna International, and Continental, I have developed strong skills in Python, C/C++, and multiple tools and frameworks. I’m always eager to learn new technologies and grow my skill set while contributing to innovative solutions.

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Amharic

Advanced

Work Experience

Professional Software Tester (CARIAD & Audi projects) at EDAG Engineering GmbH

August 1, 2024 - Present

Optimized vehicle network integration by PDU data processing for seamless system communication. Enhanced signal communication by analyzing and troubleshooting CAN, FlexRay, and Ethernet-Bus. Delivered results through data processing, analysis, and visualization using PowerBI and Elastic dashboards. Strengthened software validation processes by planning, executing, and documenting bug reports in Azure DevOps.

Driving Functionality Validation Engineer (Audi Project) at Magna International

July 31, 2024 - July 21, 2025

Improved code efficiency in IPG CarMaker Simulator to simulate and validate various driving maneuvers, enhancing test accuracy. Developed Python scripts in TraceCheck for advanced signal processing and analysis, automating test workflows for increased productivity. Optimized HiL test implementation using dSPACE Control Desk and EXAM tools, ensuring reliable validation of driving function requirements. Refined signal measurement and manipulation processes using Vector CANape, resulting in precise data collection and analysis.

Working student, Research and Development at Continental AG

March 31, 2024 - July 21, 2025

Processed 6-axis motion sensor data with filtering and transformation to enhance vehicle seat motion detection. Used Kalman filtering algorithms to improve sensor fusion accuracy and ensure precise seat positioning. Simulated seat adjustment scenarios in MATLAB/Simulink and Simscape, optimizing functionality through model-based development.