Ahmad Zaydan
Services provided: Robotics Engineers , Embedded Software Engineers , Math / Algorithms / Analytics
About Ahmad Zaydan:
I am a highly skilled electrical engineer with a strong background in robotics, automation, and optimisation. My expertise lies in the research and development of embedded systems and algorithms. With a Master's degree in Mechatronics, Robotics, and Automation Engineering from Polytechnique Montréal, I have honed my skills in programming languages such as C++, Python, and Matlab. I have a track record of successful projects, including the development of a geometric primitive-based cartography back-end for SLAM using finite state machines and the customisation of an Odroid software image for real-time video streaming. My recent publication, "A Hybrid Optimal Controller for Parafoil Systems," presented at the AIAA SciTech Forum and Exposition, showcases my ability to solve complex control problems in flight mechanics. Additionally, I am currently working on two exciting research projects that will result in upcoming publications. The first project focuses on developing a novel generalised framework for optimal control and path planning, which has the potential to revolutionize dynamic system optimisation. The second project delves into the training schedules of Large Language Models (LLMs) and their impact on performance in standard datasets.
Experience
My professional and research experiences have been instrumental in shaping my career. I have worked at the Laboratory for Acoustics and Vibration Analysis (LAVA), focusing on electromagnetics design and optimisation for a vibrational energy harvester. Additionally, my consultancy experience with AWS and custom machine learning models has enabled me to provide innovative solutions to clients.
During my Bachelor's and Master's degrees in Electrical Engineering and Mechatronics, Robotics, and Automation Engineering respectively, my research endeavours include developing frameworks for optimal control and path planning, and studying the training schedules of Large Language Models (LLMs), showcasing my ability to innovate across various technological domains.
Education
My most relevant education includes a Bachelor's degree in Electrical Engineering and a Master's degree in Mechatronics, Robotics, and Automation Engineering from Polytechnique Montréal. These programs have provided me with a comprehensive understanding of engineering principles, programming, system integration, and specialised knowledge in robotics and automation. My academic achievements are highlighted by a perfect GPA and numerous innovative projects, showcasing my dedication to excellence in the field.
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