Experienced Java Full Stack Developer with over 5 years of expertise in designing and building scalable microservices, optimizing high-performance databases, and developing secure, enterprise-grade web applications using Java, Spring Boot, React.js, and Angular. Demonstrates a strong track record of reducing deployment times, improving UI/UX, and managing large-scale distributed systems supporting global operations and high-traffic platforms. Proficient in DevOps practices, cloud infrastructure (AWS, Azure), and Agile/Scrum methodologies, with a focus on continuous improvement, secure development, and cross-functional collaboration.
Automatic Attendance Management System using Face Detection, Campbellsville, KY, Built an AI-driven attendance system using Python, OpenCV, TensorFlow, and other ML tools for real-time face recognition. Connected ML model to a web interface via Flask and React for live attendance tracking. Optimized a Siamese Neural Network to deliver 91% model accuracy across 200+ training epochs. Employed techniques like data augmentation and contrastive loss to improve model robustness. Delivered a complete solution minimizing manual effort in attendance processing.