As a Machine Learning Intern at DevHawks, I applied my Python skills and MTA certification to develop and deploy machine learning models for various client projects. I gained valuable experience in working with different frameworks, tools, and platforms, such as TensorFlow, Keras, and PyTorch.Previously, I was a Flutter Developer at DataInsight, working on an innovative platform and pipeline for digitizing prescriptions in Pakistan. I integrated a fine-tuned YOLO model in Flutter using Flask RestApi and implemented a database using MongoDB. I also used NodeJS, Firebase, and Android to create user-friendly and secure mobile applications.I was also the Technical Lead for Workshops at GDSC FAST, a Google Developer Student Club at my university. I lead teams and guided them to conduct successful workshops on the latest technologies, such as Flutter, Firebase, AI, and ML. I also managed and lead technical projects that helped students learn about Google developer technologies and grow as developers.I am pursuing my Bachelor's degree in Computer Science at the National University of Computer and Emerging Sciences, where I have been on the Dean's List of Honor for my academic excellence. I have also completed several online courses and certifications on topics such as Charts and Dashboards using Google Sheets, Introduction to Front-End Development, and Model-View-ViewModel (MVVM) architecture.I am a passionate and driven mobile application developer with strong problem-solving and user interface design skills. I am always eager to learn new things and take on new challenges. I am confident that I have the skills and experience necessary to be a valuable asset to any team.