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Entry-level Fullstack Developer with MERN stack and Java skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with a strong command over Full-Stack Web Development . Experienced in building scalable, high-performance web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js), combined with advanced frontend tools like HTML5, CSS3, and TailwindCSS for clean and responsive UI design. Proficient in working with relational databases (SQL) and well-versed in Java and core OOPs principles for robust backend logic. Hands-on with containerization using Docker, and currently upskilling in Kubernetes for efficient container orchestration. Passionate about bridging development and operations through automation, clean code, and production-ready solutions that scale.
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology · Computer Science and Engineering
November 1, 2022 – Present
A.G.V.M. PUBLIC SCHOOL
Senior Secondary
June 1, 2021 – May 31, 2022
A. G.V.M. PUBLIC SCHOOL
Intermediate
June 1, 2019 – May 31, 2020
Ecommerce-Web
June 1, 2026 – Present
Phoenix-SPS is an innovative project that utilizes the OpenAI API, JWT authentication, Typescript, Node.js, Express.js, MongoDB, Material UI, and the Vite framework. It integrates advanced natural language processing capabilities, ensures secure user authentication, and leverages TypeScript for enhanced code quality. Built on Node.js and Express.js, it offers a robust backend, while MongoDB provides efficient data management. Material UI enhances the user interface, and Vite framework streamlines frontend development.
Real-Estate APP
June 1, 2026 – Present
Built a full-featured real estate platform enabling users to list, browse, and search properties with a modern UI and secure backend. Implemented authentication with JWT and role-based authorization for secure access. Integrated Cloudinary for property image uploads and management. Enabled property filtering by location, type, price range, and amenities. Developed RESTful APIs using Express.js and connected to MongoDB for data storage. Designed a mobile-responsive frontend using React and TailwindCSS. Focused on clean UI/UX, component reusability, and efficient state management.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a passion for building functional applications. The diversity in projects (real estate, e-commerce with AI integration) shows a breadth of interest and willingness to explore new technologies (OpenAI API, TypeScript, Vite). The stated interest in bridging development and operations through automation aligns with a culture that values end-to-end ownership and continuous improvement. However, the lack of professional experience means cultural fit is primarily inferred from project choices and self-description.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex features (e.g., image uploads, filtering, authentication) and an interest in clean UI/UX and efficient state management. The mention of upskilling in Kubernetes indicates a proactive learning attitude. However, without direct work experience or behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a professional setting.