I'm currently a Software Engineer at the University of Florida's College of Medicine, working with a talented team to build innovative solutions for patient care. I recently graduated with a Master's in Computer and Information Science from the University of Florida.
As a full-stack engineer, I unify backend and frontend development, harnessing my expertise in cloud computing, data science, and machine learning. I tackle various challenges with web-based solutions, from detecting driver fatigue using machine learning models to creating scalable social networks on the MERN stack. My aim is to deliver efficient, user-friendly applications that are both robust and captivating.
When I'm not in front of a computer screen, I immerse myself in art through painting and sketching, experiment with new recipes in the kitchen, and focus on personal growth.
Developed a scalable Twitter-like engine using the Actor Model and WebSocket, with a JSON API for real-time tweet processing and interactions. Achieved a rapid 0.89 ms response time, supporting 10,000 concurrent users and tested up to 90,000 users.
👨🏻💻Github Source Code👨🏻💻
Designed and implemented a full-stack web app on AWS for dementia care, featuring ML-driven analysis and personalized recommendations. Integrated video conferencing significantly enhanced patient well-being by 30% upon deployment in a nursing home.
👨🏻💻Github Source Code👨🏻💻
Engineered an AI system with computer vision and machine learning to detect driver drowsiness, achieving 90% accuracy. Integrated into a web app for real-time monitoring and alerts, it contributed to a 25% reduction in fatigue-related transportation incidents.
👨🏻💻Github Source Code👨🏻💻
Developed a MERN stack social network with over 25,000 users, enhanced by ML models for behavior analysis, post recommendations, and sentiment analysis. Features real-time updates using Web Sockets, achieving 95% user satisfaction.