Built and deployed a comprehensive student management platform using React.js, Node.js, and AWS DynamoDB that streamlined attendance tracking and grade monitoring, leading to an 85% reduction in administrative workload and saving 20+ hours weekly for 300+ professors managing 10K+ students. Engineered a robust communication system utilizing SendGrid API with JWT authentication and Redis caching that achieved 98% email delivery rate, significantly improving student outreach efficiency. Implemented targeted intervention strategies for 100+ at-risk students, resulting in a 40% improvement in course completion rates through systematic academic and career mentorship. Leveraged full-stack expertise across HTML, CSS, React.js, JavaScript, Node.js, AWS DynamoDB, SendGrid API, JWT, and Redis to deliver a scalable and secure solution that transformed academic operations and student success tracking.

Developed a high-performance AI document classification system using ReactJS, JavaScript, and Redux, featuring responsive UI components that improved workflow efficiency by 60% and enhanced user experience. Engineered an automated HTML5-based document annotation system that eliminated manual processes, increasing processing speed by 80% through single-click functionality. Implemented PostgreSQL schema denormalization and Python Django Rest APIs to handle increased document processing load, achieving 70% faster query response times and scaling from 100K to 1M+ daily requests. Optimized deployment infrastructure using GitHub Actions, Docker containerization, and AWS, establishing robust CI/CD pipelines with automated testing and monitoring that maintained a 99% deployment success rate, leveraging a comprehensive tech stack including ReactJS, JavaScript, Redux, HTML5, PostgreSQL, Python Django, Docker, and AWS.

Architected and transformed a monolithic credit decisioning system into a microservices architecture using Core Java, Spring Boot, and AWS Kubernetes, significantly improving credit decision time by 40% and enabling 4x more application processing through an optimized ReactJS frontend and Spring backend REST APIs. Engineered a robust data persistence layer with Spring Data JPA, Hibernate, Java 17, and MySQL/PostgreSQL that achieved 45% faster transaction processing, while implementing comprehensive testing frameworks using Cypress, Playwright, JUnit, and Cucumber that reduced scoring discrepancies by 40%. Developed a high-throughput Kafka-based credit monitoring system processing 10,000+ daily transactions that slashed fraud detection latency from 15 to 5 minutes, enabling real-time fraud alerts. Led end-to-end Agile SDLC processes while applying OOP principles and design patterns, utilizing a tech stack including Java, Spring Boot, React, Kafka, Kubernetes, AWS, MySQL/PostgreSQL, and modern testing frameworks to deliver a scalable, efficient credit processing platform.