Help & Supportcareers@gravityer.com
Fullstack Engineer with 2+ years in MERN stack & Next.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack Web Developer skilled in the MERN stack (MongoDB, Express.js, React.js, Node.js), with experience building and deploying scalable web applications. Proficient in Next.js, Tailwind CSS, and Docker. Passionate about clean code, problem-solving, and delivering real-world solutions through responsive and optimized products.
Veer Surendra Sai University of Technology
B.Tech · Electrical Engineering
August 1, 2020 – June 30, 2024
Pratibha Residential Higher Secondary School
12th · Science
June 1, 2018 – May 31, 2020
Rabighosh Nodal Bidyapitha
10th
N/A – May 31, 2018
QuickGPT - AI-Powered Content Generator
June 10, 2026 – Present
Built and deployed an AI-powered SaaS app that generates text & images using OpenAI API and ImageKit. Implemented JWT authentication & authorization, credit-based usage system, and payment gateway integration. Designed a responsive UI with React & Tailwind; developed RESTful APIs with Node/Express and tested with Postman. Deployed on Vercel with Git-based CI/CD, ensuring scalability and production readiness.
View ProjectChess.com clone
June 10, 2026 – Present
Real-time multiplayer chess game built with Node.js, Express, and Socket.io. Implemented WebSocket communication for live move synchronization between players. Integrated chess.js for game logic, move validation, and special move handling. Developed drag-and-drop interface with turn-based validation and board state management. Designed player role system (white/black/spectator) with proper connection handling.
View ProjectWeb Development (HTML, CSS, JavaScript, jQuery, Node.js)
Unknown
June 1, 2026 – Present
Udemy Programming in Python with AI – Internshala
Internshala
June 1, 2026 – Present
Web Development with AI - Internshala
Internshala
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's personal projects, such as an AI-powered content generator and a real-time chess game, demonstrate initiative, a proactive learning attitude, and an interest in diverse technical challenges. Their stated interest in 'Exploring new web technologies' and 'Open-source contribution' aligns with a culture of continuous learning and collaboration. The breadth of technologies used across projects (MERN, Next.js, Docker, AI integration, WebSockets) suggests adaptability and a willingness to explore different tools, which is a positive indicator for cultural fit in a dynamic engineering environment. However, without direct interaction or specific cultural assessment, this remains an inference.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to deliver real-world solutions and a passion for problem-solving. The mention of clean code and responsive design suggests attention to detail and user experience. However, without specific behavioral or situational assessment data, a comprehensive evaluation of soft skills and operational fit is limited.