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Full Stack Engineer with less than a year in MERN Stack & RESTful APIs
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 Software Engineer (2026 Graduate) with strong backend focus and solid foundation in Data Structures, Algorithms, and scalable system design. Experienced in designing secure RESTful APIs, optimizing database queries, and building reliable full-stack applications using Node.js, Express, MongoDB, and React. Comfortable working in Linux-based environments with emphasis on performance, correctness, and clean architecture.
Sri Shakthi Institute of Engineering and Technology, Anna University
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Smart Contact Book - MERN
June 27, 2026 – Present
Developed CRUD-based REST APIs with modular backend architecture. Implemented search and filtering using optimized MongoDB queries. Structured standardized JSON responses for consistent client-server communication. Applied authentication and validation for data security.
Portfolio - MERN
June 27, 2026 – Present
Built full-stack application demonstrating REST API integration and modular design. Implemented protected routes and reusable frontend components. Deployed using Vercel and Render with environment configuration
Turf Hub – MERN Stack | Online Turf Booking System
June 27, 2026 – Present
Designed and implemented 15+ RESTful APIs for booking workflows, authentication, and role-based access control. Implemented JWT-based authentication middleware to secure protected routes. Structured backend using modular controllers and routing architecture for maintainability. Optimized MongoDB queries using indexing to reduce redundant data scans and improve query performance. Managed asynchronous operations using async/await with centralized error handling for reliability. Deployed and tested APIs in Linux-based environments using Git CLI and Postman.
React & Express & GitHub
UNSTOP
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily personal full-stack MERN applications, demonstrating initiative and a strong interest in web development. The focus on backend and API design aligns well with a Full Stack Engineer role. However, the lack of diverse project types or team-based experience makes it challenging to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an understanding of modular design, maintainability, and error handling, which are positive indicators for operational fit. However, without direct assessment data on collaboration or communication in a team setting, it's difficult to fully assess soft skills.