Manav Shah

Full-stack Developer @Target

US

Developed and deployed a high-performance e-commerce platform, utilizing React for frontend, Spring Boot for backend, and a MySQL database, resulting in a 15% increase in user conversion rates and a 10% reduction in page load times. Successfully migrated a critical legacy application to a cloud-native architecture on AWS, leveraging Docker, Kubernetes, and CI/CD pipelines, leading to a 30% reduction in operational costs and a 20% improvement in application performance (reduced latency by 15%). Designed and implemented a RESTful API, utilizing Node.js and Express.js, to power a mobile application, resulting in a 20% increase in user engagement, a 10% reduction in API response times, and improved data synchronization across platforms. Architectured and integrated a machine learning model, utilizing Python, TensorFlow, and NumPy, into a recommendation system, resulting in a 5% increase in average order value, a 20% improvement in customer satisfaction, and a 12% increase in click-through rates for recommended products. Refactored and optimized existing codebases, utilizing best practices like design patterns and code reviews, resulting in a 15% reduction in code complexity, a 10% improvement in code maintainability, and a 5% reduction in development time for new features. Led the development and implementation of a responsive design system, utilizing HTML, CSS, and JavaScript, resulting in a consistent and user-friendly experience across all devices and a 5% increase in user satisfaction with website usability. Successfully debugged and resolved critical production issues, utilizing debugging tools and analyzing log files, resulting in minimized downtime (less than 1 hour of total downtime in the past year), improved application stability, and increased customer trust.