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Fullstack Engineer with less than a year in MERN stack 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
MCA student with hands-on experience building full-stack web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Passionate about building scalable, user-centric products and eager to apply academic knowledge in a real-world development environment.
GL Bajaj Institute of Technology and Management
Master of Computer Application
September 1, 2025 – June 30, 2025
Rajarshi School of Management and Technology
Bachelor of Computer Application
August 1, 2021 – June 30, 2024
Sant Atulanand Residential Academy
High School & Intermediate
June 1, 2016 – May 31, 2020
Movie Review Application - Couch Critics
June 14, 2026 – Present
Built a full-stack MERN application where users can register, log in, write reviews, and rate movies with a responsive React.js frontend. Designed and integrated RESTful APIs using Express.js and Node.js to handle user authentication, review submission, and movie data retrieval. Modelled and managed user and review data using MongoDB, implementing efficient schema design for nested content like ratings and comments. Integrated IMDb API to automatically retrieve and display movie details such as cast, plot, ratings, and release information, eliminating manual content management and ensuring up-to-date data. Implemented protected routes and session management to ensure only authenticated users can post or edit reviews.
Food Ordering Website - Eat Street
June 14, 2026 – Present
Developed a full-stack food ordering platform with a dynamic React.js UI featuring category-based menu browsing and real-time cart management. Built backend REST APIs with Node.js and Express.js to handle menu data, order placement, and order history retrieval per user. Implemented cart functionality allowing users to add, modify quantities, and remove items before checkout, with state managed via React hooks. Stored order records and user data in MongoDB, with each order timestamped to maintain a complete per-user order history. Added search functionality on the frontend to filter dishes by name, improving discoverability across large menus.
Blogging Website - Digi Diary
June 14, 2026 – Present
Built a server-side rendered blogging platform using Node.js and Express.js, enabling users to create, publish, and manage blog posts. Used MongoDB to persist user-generated content including posts, comments, and author profiles with relational-style referencing. Implemented EJS templating for efficient server-side rendering, ensuring fast page loads and SEO-friendly content delivery. Developed a commenting system allowing readers to engage with posts, with comments stored and retrieved dynamically from MongoDB. Structured the application using MVC architecture, separating routes, controllers, and models for clean, maintainable code.
Cultural Fit Analysis
The candidate's projects are all academic and focus heavily on the MERN stack, indicating a strong interest in web development. The projects demonstrate a consistent approach to building full-stack applications. However, the lack of diverse project types, team-based projects (beyond academic assumptions), or open-source contributions limits the ability to fully assess cultural fit for a collaborative, real-world engineering environment. The candidate is currently pursuing a Master's degree, which aligns with a learning-oriented culture.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, adaptability, team collaboration, quick learner, and time management as soft skills. While these are valuable, there is no assessment data to validate these claims. The project descriptions indicate an ability to complete structured academic projects, suggesting a foundational level of operational fit for project execution.