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MERN Stack / React JS Developer with 1+ years in MERN Stack & AI/ML.
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Highly motivated Computer Science and Engineering student with 1.5 years of experience in MERN stack development, competitive programming, and AI/ML projects. Proficient in creating responsive web applications, securing user data, and integrating advanced APIs. Demonstrated strong problem-solving skills through consistent performance in coding challenges and successful project deliveries, including a notes dashboard with CRUD operations and a Chrome extension for AI summaries.
GLA University
Bachelor of Technology · Computer Science and Engineering
August 1, 2023 – June 30, 2027
BrainBin
June 1, 2025 – June 1, 2026
Created a notes dashboard using MERN stack (MongoDB, Express.js, React, Node.js) with CRUD operations and drag-and-drop reordering, validated by 5 active users during beta. Implemented JWT authentication securing data for 150+ login attempts, ensuring user privacy and protection. Engineered REST APIs handling approximately 80 daily note creation, retrieval, update, and deletion requests. Created a responsive UI optimized for desktop and mobile devices using Tailwind CSS. Incorporated user feedback from 5 testers to improve usability and add features.
View ProjectNiskarsh
April 1, 2025 – July 1, 2025
Developed a Chrome extension to generate brief or bullet-style AI summaries of web content using the Google Gemini API. Implemented secure local storage for API keys, ensuring 100% privacy with zero server-side storage. Tested with 15+ articles from 5+ different websites during development to validate accuracy and UI responsiveness. Built a clean, distraction-free interface with one-click copy-to-clipboard functionality for summaries.
View ProjectLeetCompare
April 1, 2025 – April 1, 2025
Built a MERN stack web app to compare LeetCode profiles using the GraphQL API. Fetched real-time submission statistics and contest ratings via a Node.js proxy server. Created interactive line charts with Recharts to visualize contest performance trends. Compared and analyzed coding statistics of 10+ LeetCode users during development to validate accuracy and UI responsiveness. Tested the application with daily data fetches from multiple user profiles over a 2-week period. Developed a responsive React UI displaying avatars, usernames, rankings, and solved problem counts.
View ProjectCultural Fit Analysis
The candidate's project diversity, including a professional-grade MERN stack application, a Chrome extension, and a LeetCode comparison tool, indicates a strong passion for development and continuous learning. Their active involvement in competitive programming platforms suggests a drive for excellence and problem-solving, which aligns well with a dynamic tech culture. The target role of 'MERN Stack / React JS Developer' is a strong match for the candidate's demonstrated technical skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates initiative through personal projects and competitive programming achievements. The project descriptions suggest an ability to incorporate user feedback and focus on user privacy. Collaboration skills are hinted at by participation in the Google Girls Hackathon. However, without specific behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.