Emmanuel Obolo is a highly motivated software developer with 1+ years of experience in developing and delivering high-quality software solutions. Skilled in full-stack development and machine learning, Emmanuel has a strong background in Python, Java, and JavaScript. He is adept at collaborating with cross-functional teams and contributing to all phases of the software development lifecycle. Currently pursuing a Bachelor of Science degree in Software Engineering from African Leadership University, Emmanuel is seeking a challenging and dynamic software development/machine learning intern role in a company where he can leverage his technical skills, machine learning experience, and passion for problem-solving to contribute to the development of innovative and impactful solutions.Emmanuel has worked on several projects that demonstrate his skills and knowledge in machine learning and software development. For instance, he developed a Pretrained Image Classifier to Identify Dog Breeds, utilizing Python to choose the best image classification technique and tested three CNN architectures (Alex Net, VGG, and ResNet) to classify images as 'Dogs' or 'Not Dogs.' Emmanuel also developed a Flower Image Classifier project involving an AI algorithm, specifically an image classifier, to enable easy recognition of flower species for students in the horticulture department. In addition, he worked on a Motion Gesture Project that aimed to improve the user experience of system apps on mobile devices by creating an AI program that could detect motion and gestures. These projects demonstrate Emmanuel's ability to apply machine learning and software development skill.In his personal time, Emmanuel enjoys participating in Football competitions and tournaments, reading books, and watching movies.GitHubhttps://github.com/olugbeminiyi2000