Designed and executed the seamless migration of a monolithic healthcare platform to a highly scalable, containerized microservices architecture. By utilizing Docker and orchestrating the deployments through a robust CI/CD pipeline, this project ensures zero-downtime releases and resilient infrastructure. Emphasized strong security practices and infrastructure as code to maintain a compliant environment in the cloud.

In this project, I implemented advanced software quality assurance methodologies across the entire development lifecycle. Using JUnit and Mockito, I created over 100 test cases achieving 95% code coverage for critical modules. I established CI/CD pipelines with automated testing gates that reduced post-deployment issues by 80% and accelerated the development cycle by 35%. This project demonstrates my ability to ensure software reliability through systematic testing approaches.

I engineered this interactive web calculator featuring a sleek, intuitive UI with vanilla JavaScript, HTML5, and CSS3 without any external libraries. The application includes standard arithmetic operations plus advanced scientific functions like logarithms and trigonometry. It features robust error handling, customizable themes, keyboard support for rapid calculations, and a responsive design that adapts perfectly to any screen size. This project demonstrates my expertise in front-end development and creating polished user experiences with pure JavaScript.

I developed this comprehensive veterinary pharmacy management system using React.js with Context API for state management and TailwindCSS for a responsive UI that works flawlessly across all devices. The system integrates with a Node.js/Express backend API (hosted on Render.com) with MongoDB for data persistence. Key features include real-time inventory tracking with automated alerts, electronic prescription processing, AI-powered medication interaction warnings, customer profiles with complete pet medical histories, and detailed sales analytics with customizable reporting. The platform reduced prescription processing time by 65% and inventory discrepancies by 87% in client implementations.