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@khaldounsalloum
Experienced software engineer specializing in machine learning and navigation systems.
I am a dedicated software engineer with over 13 years of experience in developing advanced navigation systems and machine learning applications. Currently, I work as a research engineer at N.E. Bauman Moscow State Technical University, where I focus on improving moving object performance through innovative algorithms and techniques. My work involves the development of multiple navigation systems based on machine learning algorithms, specifically tailored for nonlinear systems such as cars and drones.
Throughout my career, I have honed my skills in signal processing, optimal control, and trajectory tracking. My expertise extends to various programming languages and tools, including MATLAB, SIMULINK, C++, and Python. I have successfully eliminated georeferencing errors and developed algorithms for real-time object tracking, showcasing my ability to tackle complex challenges in the field of control systems and machine learning.
With a PhD in Informatics and Control Systems from N.E. Bauman Moscow State Technical University, I am committed to continuous learning and professional development. I thrive in collaborative environments and am eager to contribute my knowledge and skills to innovative projects that push the boundaries of technology.
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Work history, roles, and key accomplishments
N.E. Bauman Moscow State Technical University
Dec 2021 - Present (3 years 11 months)
Improved moving object performance using machine learning and collaborative localization. Developed multiple navigation systems based on machine learning algorithms and applied them to nonlinear systems (cars, drones).
N.E. Bauman Moscow State Technical University
Dec 2018 - Aug 2021 (2 years 8 months)
Eliminated georeferencing errors and developed signal processing techniques to improve the initial alignment of a stationary inertial navigation system (BINS). Developed and applied algorithms to accurately track objects in real time within camera or video scenes.
Damascus University
Jan 2012 - Dec 2018 (6 years 11 months)
Worked on control systems, machine learning, and dedicated system (FPGA) programming. Utilized various tools for signal processing, Kalman Filter, and joint localization.
Degrees, certifications, and relevant coursework
PhD, Automatic control systems
2021 -
Pursued doctoral studies in Automatic Control Systems within the Informatics and Control Systems faculty. Focused on advanced research and development in the field of automation and control.
Master's Degree, Automatic control systems
2018 - 2021
Completed a Master's degree in Automatic Control Systems, focusing on informatics and control systems. Gained in-depth knowledge and practical skills in designing and implementing control solutions.
Bachelor's Degree, Telecommunication System
2007 - 2011
Studied Telecommunication Systems, gaining foundational knowledge in the field. Developed skills relevant to communication technologies and system design.
Software and tools used professionally
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