Nihal Sulthan

Dynamic Computer Science and Engineering graduate with proficiency in C, C++, Python, JavaScript, HTML, and CSS. Solid understanding of Data Structures and computer science concepts, demonstrated through hands-on project experience. Successfully collaborated within cross-functional teams across two projects, showcasing adaptability and strong teamwork abilities. Known for a diligent work ethic and a passion for leveraging technical expertise to deliver high-quality solutions in diverse environments.

Keyframe extraction and video anomaly detection.

• Developed a sophisticated keyframe extraction and video anomaly detection system utilizing custom Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) modules, leveraging advanced AI/ML techniques.

Flutter application to simplify labour supply

• Developed a mobile application designed to streamline the process of sourcing skilled laborers, implemented using the Flutter framework.