About

Uzair Navid Iftikhar is a highly skilled Senior Software Engineer (Machine Learning) at Chipper Cash, a fintech startup that provides mobile payment solutions across Africa. With 3.79 years of relevant experience, Uzair has a strong background in software engineering, machine learning, and search technologies. Prior to joining Chipper Cash, Uzair worked as a Software Engineer at Google Play, where he was responsible for improving the search and discovery of apps on the platform. During his time at Google, Uzair also worked as a Software Engineering Intern on the Google Play Instant/Android Instant Apps Team. Uzair holds a Bachelor of Science (B.S.) in Computer Science from Stanford University, where he gained valuable knowledge and skills in programming, data structures, algorithms, and artificial intelligence. He also spent a year as a Visiting Student at the University of Oxford, where he studied History of Science, Philosophy of Mind, and English Literature. In addition to his strong academic and professional background, Uzair has a diverse set of technical skills, including software engineering, machine learning, search, and Android development. He is passionate about using his expertise to build innovative solutions that solve real-world problems and improve people's lives. As a Senior Software Engineer (Machine Learning) at Chipper Cash, Uzair is responsible for developing and implementing machine learning models and algorithms that help the company improve its mobile payment platform. He also works closely with other engineers, product managers, and designers to design and implement new features and functionalities for the platform. Overall, Uzair Navid Iftikhar is a highly talented and motivated software engineer with a strong track record of success in the tech industry. His expertise in machine learning, search, and Android development, combined with his passion for innovation and problem-solving, make him a valuable asset to any organization.