Help & Supportcareers@gravityer.com
Fullstack Engineer with less than a year in MERN Stack & Front-end Development
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 developer with a strong focus on Front-end technologies and expertise in React.js, creating scalable application. Skilled in optimizing web applications for performance and responsiveness, with a focus on user-centric designs. Expertise in JavaScript, React.js, TailwindCSS, Node.js, Express.js and MongoDB.
Vimal Jyothi Engineering College
Bachelor of Technology · Computer Science And Design
August 1, 2021 – June 30, 2025
Haveahill Technologies
Full-Stack Developer – Internship
June 1, 2024 – July 31, 2024
Kannur, Kerala, India
DEV TINDER
June 23, 2026 – Present
Dev Tinder is a web application built using the MERN (MongoDB, Express.js, React.js, Node.js) stack. Designed a smart connection system with a dynamic feed that displays developer profiles and enables matching based on mutual interest through connection requests. Implemented JWT-based authentication for secure user login and signup functionality. Built real-time chat between connected users using WebSocket (Socket.io) to simulate live interaction. Integrated Razorpay payment gateway for seamless and secure subscription payments. Users can edit their profiles, view connections, and engage with matched developers seamlessly.
SOCCER GEAR
June 23, 2026 – Present
SOCCER GEAR is a football-focused e-commerce platform built using MERN (MongoDB, Express.js, React.js, Node.js) stack. Implemented a comprehensive product management system (add, update, delete products with photos and details) in the admin panel. Developed an order management system enabling admins to update and track order statuses efficiently. Added search and filtering functionality to help customers quickly discover products based on preferences. Integrated Razorpay payment gateway to ensure secure and seamless online transactions. Designed a responsive UI/UX, enhancing the shopping experience across desktop and mobile devices.
EV Charging Station Locator
June 23, 2026 – Present
EV Charging Station Locator is built using MERN (MongoDB, Express.js, React.js, Node.js) stack. Built a web application to help users locate nearby EV charging stations. Developed filtering options for charging speed, connector type (Type1, Type2, DC), availability, and payment methods. Designed station detail pages with address, contact info, connector types, charging speed, and pricing. Created a responsive and user-friendly UI, ensuring seamless experience across devices.
FOOD ORDERING APPLICATION
June 23, 2026 – Present
Food Ordering Application is built using HTML, JavaScript, React.js and TailwindCSS. Integrated live data from Swiggy's API to display real-time restaurant and menu information. Integrated shimmer UI (loading skeleton cards) to enhance user experience during data fetching. Designed detailed restaurant pages where users can browse food items and add them to a cart. Implemented a filter button to display highly rated restaurants and a search feature to locate specific restaurants easily.
NETFLIX CLONE
June 23, 2026 – Present
Netflix Clone is built using HTML, JavaScript, React.js, TailwindCSS and Firebase. Secure login and account creation with personalized profiles, leveraging Firebase for reliable user data storage. Utilized the TMDB API to display movies on the platform. Displayed movies across various categories.
YOUTUBE CLONE
June 23, 2026 – Present
Youtube Clone is built using HTML, JavaScript, React.js and TailwindCSS. Users can watch embedded YouTube videos directly within the app. Implemented real-time suggestions for videos and channels while typing. Developed a live chat box that auto-displays dummy messages in real-time and allows users to add their own messages locally during video playback. Populated the comment section with structured dummy data to replicate realistic user interactions.
Cultural Fit Analysis
The candidate has a strong focus on personal projects, demonstrating initiative and a passion for learning new technologies. The projects are diverse, covering social networking, e-commerce, utility, and media streaming, which indicates adaptability and a broad interest in application domains. However, the lack of team-based projects or open-source contributions limits the assessment of collaboration and broader cultural alignment. The candidate is still pursuing a bachelor's degree, which suggests a learning-oriented mindset, but also implies less industry experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate requirements into functional features (e.g., smart connection system, filtering options, product management). The internship experience suggests exposure to version control and CI/CD, which are crucial for operational fit. However, without specific behavioral or teamwork assessments, a deeper evaluation of soft skills and operational fit is limited.