06/16/2026 updated
100 % available
Backend Developer (Node.js, AWS, REST APIs)
Anand, India
Only remote
Master of Science in Information Technology (M.Sc.IT)About me
Backend-Focused Full Stack Engineer skilled in Node.js, Express.js, React, Next.js, MongoDB, PostgreSQL, and TypeScript. I build scalable web applications, REST APIs, and database-driven solutions with a focus on performance, reliability, and clean code.
JavaScriptApplication Programming Interfaces (APIs)Python (Programming Language)MongoDBNode.jsAWS CLITypeScriptExpress.jsBackendBackend Programming
Node.js & Express.js Backend Development
Design and development of scalable REST APIs using Node.js and Express.js, including CRUD operations, structured validation, JWT authentication, and cookie-based session handling.
AWS Cloud Services
Practical experience with AWS services including EC2 for deployment, S3 for secure storage and delivery of assets, and DynamoDB for high-performance NoSQL data modeling.
Database Management (NoSQL & MongoDB)
Modeling and managing NoSQL databases using AWS DynamoDB and MongoDB, including schema design for high-performance reads and scalable data structures.
TypeScript & JavaScript
Programming in JavaScript and TypeScript for backend and full-stack application development.
Docker & DevOps
Containerization of backend services using Docker and deployment on AWS EC2 with production environment configuration.
Firebase Integration
Integration of Firebase Realtime DB, Firebase Authentication, and Firestore for secure admin access and real-time data management.
Typesense Full-Text Search
Integration of Typesense for fast full-text search and filtered queries within backend applications.
React.js (Admin Panel Development)
Development of React-based admin panels to manage backend data, configurations, and content.
AI & API Integration (Google Gemini)
Integration of Google Gemini APIs to generate personalized AI-driven reports from uploaded resumes and job descriptions.
Design and development of scalable REST APIs using Node.js and Express.js, including CRUD operations, structured validation, JWT authentication, and cookie-based session handling.
AWS Cloud Services
Practical experience with AWS services including EC2 for deployment, S3 for secure storage and delivery of assets, and DynamoDB for high-performance NoSQL data modeling.
Database Management (NoSQL & MongoDB)
Modeling and managing NoSQL databases using AWS DynamoDB and MongoDB, including schema design for high-performance reads and scalable data structures.
TypeScript & JavaScript
Programming in JavaScript and TypeScript for backend and full-stack application development.
Docker & DevOps
Containerization of backend services using Docker and deployment on AWS EC2 with production environment configuration.
Firebase Integration
Integration of Firebase Realtime DB, Firebase Authentication, and Firestore for secure admin access and real-time data management.
Typesense Full-Text Search
Integration of Typesense for fast full-text search and filtered queries within backend applications.
React.js (Admin Panel Development)
Development of React-based admin panels to manage backend data, configurations, and content.
AI & API Integration (Google Gemini)
Integration of Google Gemini APIs to generate personalized AI-driven reports from uploaded resumes and job descriptions.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishGoodHindiFluent
Project history
Developed and deployed a full-stack AI-powered interview preparation platform (AI Interview Preparation Platform) using React.js, Node.js, Express.js, MongoDB, Gemini AI, JWT, and Ant Design. Integrated Google Gemini APIs for personalized interview reports, implemented JWT authentication, built a resume upload and PDF parsing pipeline, and deployed frontend on Vercel and backend on Railway.
Developed scalable REST APIs using Node.js and Express for the City Offer App. Implemented location-based offer discovery with geolocation filters and radius search. Built category-based filtering and pagination. Integrated Typesense for full-text search. Designed NoSQL schema using AWS DynamoDB, used AWS S3 for image storage, and deployed backend services on AWS EC2 using Docker. Also developed backend APIs for the Kids Learning App, including CRUD operations, AWS DynamoDB data modeling, S3 integration, a React-based admin panel, and Firebase Authentication.