• Built scalable and responsive UIs using React and TypeScript, integrating Material-UI for consistent theming and component design.
• Used TanStack Query and Redux to manage complex client-side state and server caching, improving data consistency and app performance.
• Developed dynamic, data-driven tables with AG Grid, enabling advanced filtering, sorting, and custom rendering for large datasets.
Full-Stack Developer
EasyEd
January 2023 - July 2024
Greater Noida, Uttar Pradesh
• Orchestrated front-end and back-end development initiatives, leading UI/UX design, API development, and database management tasks; boosted user engagement by 40% through intuitive interface enhancements and optimized API performance for faster data retrieval.
• Led comprehensive code reviews, identified 50+ critical issues, and executed debugging processes, resulting in a 40% reduction in software bugs and enhancing overall application stability and performance.
• Deployed the backend system on Amazon AWS, optimizing for at least 99.99% availability and scalability to handle a minimum of 1000 requests per second.
Education
Bachelor of Technology, Computer Science
KIET Group of Institutions
October 2021 - April 2025
Ghaziabad, Uttar Pradesh
Senior Secondary
Kendriya Vidyalaya No.1 Hindan
April 2019 - May 2020
Ghaziabad, Uttar Pradesh
Technical Skills
Frontend
ReactJs
MUI
AGGrid
Tanstack query
Backend
Node.Js
Express.Js
Database
PostgreSQL
MongoDB
DevOps/Cloud
Amazon AWS
GCP
Docker
Programming Languages
JavaScript
TypeScript
Python
Tools
JIRA
VS Code
Git
GitHub
BitBucket
Projects
DocuMate
React
Node.js
MongoDB
Socket.io
July 2024 - August 2024
• Developed a real-time collaborative document editor similar to Google Docs, utilizing React.js for the front-end and Node.js with Socket.IO for real-time communication and back-end services.
• Implemented real-time bidirectional communication with Socket.IO, enabling seamless document collaboration and instantaneous updates across multiple users, which improved collaboration efficiency by 50%.
• Leveraged Docker to containerize the application, ensuring consistent deployment environments and simplifying scaling, which resulted in a 40% reduction in deployment time and increased stability across different environments.
Def Call
React
Node.js
Python
Socket.io
March 2023 - June 2023
• Created a specialized video calling platform tailored for deaf and mute individuals, integrating a machine learning model trained on American Sign Language (ASL) to detect and interpret hand gestures.
• Utilized Python to develop the machine learning model, React for the front-end interface, Node.js for server-side logic, and Socket.IO for real-time communication, resulting in a 30% increase in processing speed and a 20% improvement in real-time responsiveness.
• Conducted extensive testing and optimization to achieve 95% accuracy in detecting ASL gestures across diverse lighting and environmental conditions.