Project 1: Full-Stack React Application with Node.js Backend and ML IntegrationDesigned and developed a full-stack web application, implementing the frontend using React and the backend with Node.js (Express.js) and GraphQL for efficient querying and mutating of data.Integrated machine learning models into the backend to deliver personalized recommendations and predictive analytics based on user behavior and historical data, using Python (TensorFlow/PyTorch) and AWS SageMaker for model training and deployment.Optimized data pipelines for real-time data processing using AWS Lambda, Apache Kafka, and AWS S3, enabling seamless data ingestion from user interactions for model predictions.Managed AWS EC2 instances for hosting the application and S3 for storing user-uploaded files, ensuring scalability and high availability of services.Developed modular React components for frontend performance and reusability, with a focus on integrating ML model outputs to dynamically adjust content and recommendations based on user data.Project 2: React Frontend with Java Spring Backend and Data Engineering IntegrationLed the frontend development of a large-scale web application using React, collaborating closely with backend teams who developed the Java Spring API, and integrating data pipelines to support real-time analytics.Engineered ETL pipelines using Apache Spark and AWS Glue to process and transform large-scale datasets, enabling data-driven insights and machine learning model predictions within the application.Implemented RESTful API endpoints to securely retrieve and serve data from a PostgreSQL database, and integrated the data layer with machine learning models for real-time predictions (e.g., predictive maintenance, demand forecasting) via AWS Lambda and API Gateway.Developed custom React hooks and managed state using React Context to handle complex data flows, ensuring efficient communication between frontend and backend services

Project 1: React Web Application Development• Led the development of a highly dynamic web application using React, where I implemented advanced features with React Hooks, Redux, and Context API for efficient state management.• Worked on performance optimizations, reducing the application's load time by 20% through techniques like lazy loading, memoization, and code splitting.• Created custom reusable components that significantly improved code modularity and reusability, reducing development time by 30% across different application modules.• Integrated AWS EC2 and S3 for seamless deployment and storage, and utilized AWS Lambda for serverless backend functions to handle various API calls, optimizing server load.• Developed and maintained a comprehensive unit testing suite using Jest and Enzyme to ensure the reliability and accuracy of React components, achieving 90% test coverage.• Participated actively in Agile sprints, taking ownership of feature planning and development, and working closely with product owners to align features with business goals.Project 2: Angular Application with NGRX and Angular Universal• Developed and maintained a single-page application using Angular, leveraging Angular Material for responsive UI components, and implemented NGRX for effective state management.• Enhanced the user experience by integrating Angular Universal to enable server-side rendering, improving SEO performance and reducing initial load times by 20%.• Implemented complex forms with validation and used Reactive Forms for handling large forms with dynamic data inputs, making the application more robust and user-friendly.• Led the migration of legacy code to TypeScript, improving code maintainability and reducing bugs by ensuring better type safety.