About

Abu Qader is a skilled and highly motivated individual with a strong background in computer science and information technology. As a Strategy professional at Cameo, he has demonstrated his ability to drive innovation and growth in the company's product line. With 2.61 years of relevant experience, Abu has a proven track record of success in the industry. Abu's expertise in computer vision engineering is an asset to any team. During his time at Cornell University Unmanned Air Systems, he developed an automated target detection system that reduced false-positives by over 30%. He also designed and implemented a target shape classification system that improved accuracy over 60%. Additionally, he developed a hyperparameter tuning system that auto-set parameters across a set of different models based on overall task success. Abu's implementation of an unsupervised deep learning algorithm for target segmentation improved IOU over 40%. Abu holds a Bachelor's Degree in Computer and Information Science from Cornell University, where he was able to hone his skills and gain valuable experience in the field. He also holds a High School degree in Computer Science from Lane Technical College Prep High School. His education has provided him with a strong foundation in computer science and information technology, which he has been able to apply in his professional career. Abu's experience and education have equipped him with the skills and knowledge needed to excel in his current role as a Product Strategy professional at Cameo. His ability to develop and implement innovative solutions has helped the company to grow and succeed in a highly competitive industry. With his strong work ethic and dedication to excellence, Abu is a valuable asset to any team.