I'm a Master's student in Computer Science with a passion for solving technical challenges and building innovative solutions. My journey has equipped me with hands-on experience in Technical Support, Web & Mobile App Development and Data Analysis & Visualization.
Leveraging a diverse technology stack, I develop user-friendly web and mobile applications. As a technical support specialist, I've assisted university-wide users by resolving issues ranging from network troubleshooting and MFA configuration to VPN connectivity, account management, and AV support for large lecture halls.
Developed cutting-edge applications, including a real-time emotion detection system with 65% accuracy using deep learning and a large-scale YouTube analyzer processing 647,000+ videos.
Provided technical support to 20,000+ university users, resolving 3,700+ issues with a 4.9/5 satisfaction rating, while improving IT workflows and user experience.
Led teams in delivering high-impact projects such as LivingAtlas and the HypeHaven Ecommerce website, driving collaboration and achieving measurable results.
A machine learning application that analyzes live webcam footage to identify user emotions with over 65% accuracy.
An interactive web app for visualizing geographical data with features like polygon filtering and secure user logins.
A scalable application analyzing 647,000+ YouTube videos using Apache Spark and MongoDB for faster processing.