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Abdul Moiz
Electrical and Computer Engineer - TUM - Apple - Intel - Deep/Machine Learning - Computer Vision -
Professional Background
Abdul Moiz is a dedicated AI Software Engineer currently applying his expertise at Asaphus Vision, a company renowned for its innovative approaches in the field of automotive technology. With a keen interest in the advancements of Machine Learning and Deep Learning, he works diligently on developing sophisticated software solutions that focus on driver and interior monitoring systems. These solutions cater to the needs of automotive original equipment manufacturers (OEMs) worldwide, showcasing Abdul’s commitment to enhancing safety and efficiency in transportation through artificial intelligence.
His career has been marked by a series of impressive positions at leading tech companies. Before joining Asaphus Vision, Abdul served as a software engineer at Apple Inc., where he honed his skills in software development and worked on cutting-edge projects that pushed the boundaries of innovation within the tech giant. He also held a key role at Intel Deutschland GmbH, where he contributed to pivotal research and development efforts in deep learning technologies. In addition to these roles, Abdul was a Deep Learning Researcher at the prestigious Technische Universität München, where his research laid the groundwork for many applications in AI and sensor technology.
Education and Achievements
Abdul Moiz's academic journey is as impressive as his professional endeavors. He earned his Master of Science degree in Electrical, Electronics and Communications Engineering from the Technical University of Munich (TUM), where he specialized in Machine Learning and Deep Learning. Abdul’s master's thesis, titled "Attention Based Fusion Using Feature Aggregation For Audio-Visual Person Recognition", reflects his deep understanding of complex algorithms and their applications in real-world scenarios. His research was published, further solidifying his reputation in the AI community and underscoring his ability to merge theoretical knowledge with practical application.
His undergraduate studies were completed at the National University of Sciences and Technology (NUST), where he received a Bachelor of Science in Electrical Engineering. There, he conducted significant research for his bachelor’s thesis on "Semi-Autonomous Wheel Chair Control Using Gaze", demonstrating his early fascination with the intersection of engineering, human interaction, and technology.
Abdul also undertook A-Level studies at the Colombo International School, laying a strong educational foundation in science and technology that has guided his career path.
Research Publication
Further establishing his expertise in the field, Abdul's research publication can be accessed at the Computer Society’s digital library, emphasizing the innovative approaches he has taken in audio-visual recognition technologies. The publication serves as a testament to his analytical skills and his ability to contribute to academic discourse within his field.
Technical Skills
Abdul Moiz has developed a robust technical skill set throughout his career, encompassing various aspects of AI, software development, and computer vision technologies. His core competencies include Machine Learning, Deep Learning, and Software Development, specifically tailored to deliver solutions designed to track and interpret data from the automotive environment. Abdul possesses well-honed skills in computer vision, making him a pivotal player in the evolving landscape of automotive technology.
Professional Affiliations
In addition to his hands-on experience in the tech industry, Abdul's professional affiliations include key tenures at prominent organizations. His role as an AI Software Engineer at Asaphus Vision allows him to integrate advanced AI technologies into automotive applications. His experience at Apple Inc. and Intel, two leading giants in technology, has equipped him with a profound understanding of the industry dynamics and current technological trends. He has also been involved with Holo-Light GmbH and held the position of Signal Processing Researcher at NUST, showcasing his versatility and breadth of experience in different technological domains.
Through his diverse experiences and profound educational background, Abdul is poised to contribute significantly to the field of artificial intelligence, particularly in its applications within the automotive industry. His keen interest in the intersection of machine learning and practical applications continues to drive his career forward, making him a valuable asset in any tech-driven endeavor.
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