● Spearheaded the development of a responsive, high-performance product detail page using React, Redux, and TypeScript, improving page load speed by 30%.● Collaborated with cross-functional teams to implement GraphQL APIs for enhanced data fetching, integrating with Apollo Client on the frontend and AWS Lambda on the backend.● Enhanced the shopping cart experience by developing dynamic features using Next.js, Styled Components, and Webpack, resulting in a 25% increase in user engagement.● Built robust backend services using Node.js, Express, and MongoDB, improving API response times by 40% through efficient database queries and caching strategies.● Integrated DynamoDB, AWS S3, and Lambda for serverless architecture, enabling a scalable and fault-tolerant checkout system used by millions of customers daily.● Improved front-end performance with Web Workers, Service Workers, and Lighthouse optimizations, reducing page load times and enhancing user experience on mobile devices.● Led a team to develop an internal tool for managing promotions using Vue.js, Vuetify, and Jest, which decreased manual input errors by 60%.● Implemented a CI/CD pipeline using Jenkins, Docker, and Kubernetes, automating deployment for both frontend and backend services, reducing downtime during release cycles.● Migrated legacy systems to a modern tech stack using Python (Flask), PostgreSQL, and Redis, resulting in a 20% increase in system reliability and uptime.● Designed a microservices architecture with Kinesis, SNS, and SQS for real-time event processing, supporting scalable backend services that handle millions of transactions per day.

● Developed a highly scalable, modular UI using React, GraphQL, and Emotion.js, improving content browsing speed and user engagement by 20%.● Led the implementation of server-side rendering for the video streaming platform using Next.js, Node.js, and Redis, which enhanced SEO and reduced time to first byte (TTFB) by 40%.● Enhanced the Netflix recommendation engine UI by integrating Vue.js, TypeScript, and RxJS, improving performance and real-time data updates across multiple devices.● Optimized video playback experience by implementing WebAssembly, WebSockets, and Canvas API, improving video buffering time and resolution adaptation for global users.● Modernized backend services for content delivery using Python (Flask), MySQL, and ElasticSearch, reducing API response times by 35% and improving the resilience of data-intensive operations.● Architected a micro-frontend system with Webpack Module Federation, React, and AWS Lambda, enabling faster deployment cycles and better team collaboration for feature updates across various Netflix services.

● Developed dynamic user interfaces for the Uber Rider app using AngularJS, Bootstrap, and Sass, improving overall user satisfaction and boosting retention rates by 15%.● Implemented real-time ride tracking features using React, WebSockets, and D3.js, enhancing the accuracy and responsiveness of the in-app maps for millions of users.● Collaborated on building a high-performance payment processing system using Node.js, Express, and MongoDB, reducing transaction errors and increasing payment reliability by 25%.● Improved the driver onboarding process by developing a mobile-first web application using Vue.js, Axios, and Firebase, reducing the time to onboard new drivers by 30%.● Optimized the UberEATS order management system by implementing Ember.js, GraphQL, and Apollo Client, enhancing order handling and improving load times by 20%.● Streamlined backend operations by integrating Node.js, RabbitMQ, and Redis for managing real-time ride requests and responses, improving system scalability and reliability under heavy load.