As a Graduate Research Assistant under the guidance of Prof. Dr. Hariniramprasad, I spearheaded the development of a cutting-edge Criminal Investigations Learning Framework. This comprehensive web application, built on a Node.js backend and React frontend, offers an immersive educational experience in cybersecurity awareness. By integrating various modules including quizzes, interactive gamification, and seamless NinerNet single sign-on integration from the University of North Carolina at Charlotte, I facilitated an engaging platform for students to enhance their knowledge and skills in digital security.

• Led the development and deployment of scalable microservices architecture for a full-stack banking application, leveraging Google CloudPlatform and Google Kubernetes Engine (GKE) to handle over $500 million in monthly transactions and support over 1 million users.• Catalyzed a 50% efficiency boost by orchestrating an infrastructure overhaul using Google Kubernetes Engine, simultaneously deploying10+ microservices for enhanced security and centralized configuration.• Custom-designed and implemented banking solutions that streamlined onboarding for 10+ new banks, boosting customer satisfaction by30% and quadrupling system capacity to support 1 million+ users.• Championed talent development by coaching 30+ new hires in Spring Framework and Google Kubernetes Engine, significantly enhancingtechnical skills and fostering a culture of innovation.• Optimized algorithms for data processing and transaction handling within cloud-based microservices, improving overall system throughputby 50%.

• Developed a robust microservices architecture for a digital banking application, processing over $500 million in transactions monthly.• Orchestrated the seamless cloud migration of 12+ microservices to Google Cloud, boosting system reliability by 25%.• Optimized 15+ microservices for enhanced scalability, effectively utilizing Google Kubernetes orchestration to boost system performance

• Developed a big data application with Google Cloud DataFlow, processing over 10,000 transactions daily and increasing data throughput by50%• Delivered a POC for an automatic job scheduling pipeline that manages 50+ daily Cloud DataFlow operations for purchase rewards extractionusing Google Cloud Scheduler.

Constructed an IoT system using machine learning to automate responses for 1,000+ daily interactions