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Full Stack Engineer with 1+ years in MERN Stack & AI Applications
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 skilled in the MERN stack, passionate about building scalable, user-friendly web applications. Experienced in developing real-world projects including an AI-based meal planning platform, e-commerce website, and movie search application. Strong foundation in JavaScript (ES6+), REST APIs, and responsive UI design with modern tools like Tailwind CSS and shaden/UI. Enthusiastic about problem-solving, clean code practices, and continuously learning emerging technologies.
Sree Narayana Gurukulam College of Engineering
Master of Computer Applications · Computer Applications
August 1, 2024 – Present
SAS SNDP Yogam College
Bachelor of Computer Applications · Computer Applications
August 1, 2021 – June 30, 2024
K.R.P.M.H.S.S
10th · Higher Secondary
June 1, 2009 – May 31, 2021
Ai-Based Meal and Diet Planning System
July 1, 2025 – Present
Built a MERN platform enabling user authentication, profile management, and personalized health data input. Designed a responsive, mobile-first UI using React, Tailwind CSS, and shadcn/UI for seamless user experience. Implemented calorie and nutrients calculation, nutrient tracking, and meal reminders with real-time analytics. Developed an admin dashboard for user management, food database updates, and system configuration.
Movie Search Website
April 1, 2025 – May 1, 2025
Built a full-stack movie search platform using the TMDb API for real-time data retrieval. Developed RESTful routes with Express.js, MongoDB for favorites, and implemented dynamic UI with Handlebars. Designed a responsive, modern interface using Tailwind CSS, ensuring smooth cross-device usability. Enhanced user experience with server-side error handling, search feedback, and persistent favorites.
E-Commerce Website
July 1, 2024 – October 1, 2024
Developed a full-featured e-commerce platform with user authentication, product browsing, and order management. Built RESTful backend with Express.js and MongoDB for scalable data storage and efficient queries. Designed a responsive, mobile-friendly UI using Handlebars and Tailwind CSS, improving user experience. Integrated shopping cart, secure checkout, Razorpay payment gateway, and an admin dashboard for product and order management.
Foundation of Cloud IoT Edge ML
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong initiative in building personal projects across different domains (meal planning, e-commerce, movie search). This diversity, coupled with the use of modern technologies, suggests a proactive and learning-oriented individual. The projects align well with a Full Stack Engineer role, indicating a good fit for a team that values hands-on development and continuous skill acquisition. The lack of professional experience means cultural fit is primarily inferred from project choices and stated skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse features and integrate various technologies, suggesting a problem-solving mindset. The focus on user experience and responsive design points to an understanding of practical application. However, without direct work experience or behavioral assessment data, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.