FullStack (Mern) Developer with 1+ years in MERN Stack & Cloud Services
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Enthusiastic full-stack developer with expertise in both front-end (HTML, CSS, JS, React.js) and back-end development (Node.js, Express.js, MongoDB, SQL) for crafting user-friendly and efficient web applications.
Mohamed Sathak Engineering College
Bachelor of Engineering
August 1, 2020 – June 30, 2024
ST.ANNE'S MATRICULATION HIGHER SECONDARY SCHOOL
Higher Secondary
June 1, 2017 – May 31, 2020
SANGVISH TECHNOLOGIE'S(MADURAI)
Full Stcak Developer
January 1, 2024 – Present
India
AROOPA TECHNOLOGIES (CHENNAI)
Backend Developer
January 1, 2023 – August 31, 2023
India
Food Supply Chain (Waste Food Management)
June 28, 2026 – Present
The Waste Food Management project aims to reduce food waste by efficiently connecting food donors with administrators and delivery personnel. Users can submit details of excess food through a web form, triggering real-time notifications to administrators. Administrators can then locate the user's address using Google Maps and the Address Converter API, and notify delivery personnel to collect and redistribute the food. The tech stack includes HTML, CSS, JavaScript for the frontend, Express.js and Node.js for the backend, and MongoDB for the database, ensuring a seamless and effective food redistribution process.
CRUD APPLICATION (MERN STACK)
June 28, 2026 – Present
The MERN Stack CRUD application is a full-stack web project that utilizes MongoDB, Express.js, React.js, and Node.js to perform Create, Read, Update, and Delete (CRUD) operations. On the frontend, React.js enables users to add, view, edit, and delete data through a dynamic and responsive user interface. The backend, powered by Node.js and Express.js, handles server-side logic and manages requests from the frontend by providing RESTful API endpoints for CRUD operations. MongoDB serves as the database, storing data in a flexible JSON-like format and facilitating direct interactions for creating, reading, updating, and deleting records. This project showcases the integration of these technologies to build a seamless, efficient, and responsive single-page application (SPA).
E-LEARNING PLATFORM (OWN PRODUCT) - MULTI VENDOR LOGIN SYSTEM
June 28, 2026 – Present
Developed By (MERN stack, REST API, AntD Design, cloud, Github, map api, Gemini API, DOCKER, firebase, MVC, MICROSERVICE BACKEND, API security, etc..) Student Features: • Extensive Course Library: Seamlessly browse, filter, and access courses by technology categories (e.g., Web Development, Cyber Security). • Notes & Code Management: Dynamic notes module with date filtering and search; a cloud-based code editor supporting 40+ languages, with organized storage for easy retrieval. • AI-Driven Interview Preparation: AI-led interview sessions with customized questions, scoring, and feedback based on selected skills. • Task & Project Management: FCM-powered notifications for tasks; students can view status updates (Pending, Success, New) and submit work. • Real-Time Collaboration & Webpage Builder: In-platform chat using Socket.IO, plus a drag-and-drop webpage builder. • Custom APIs & Assessments: Created APIs for e-commerce, E-learning, and mobile models; added an MCQ-based self-assessment tool. Admin Feature: • User & Task Management: Complete CRUD for users with batch/location filters, task assignments, and real-time FCM notifications to keep students updated. Admins track task statuses for seamless support. • Analytics & Insights: Interactive dashboard displays data on user activity by month, location, and batch. Visualizes course engagement and student progress, aiding data-driven decisions. • Content & Assessment Control: Easily uploads course materials, schedules daily content, and manages AI-driven interview questions and MCQs for student skill assessment. • API & Notifications: Manage platform APIs and send targeted notifications, ensuring students stay informed on tasks, courses, and updates. • This Admin panel empowers efficient user control, analytics, dynamic content management, and real-time communication for a robust learning experience.
Cultural Fit Analysis
The candidate's portfolio includes diverse projects like an E-learning platform and a Food Supply Chain management system, showcasing a breadth of interests and problem-solving approaches. The target role of 'FullStack (Mern) Developer' aligns well with the candidate's demonstrated skills and project experience, particularly the extensive use of the MERN stack. The candidate's proactive approach in developing an 'OWN PRODUCT' (E-learning platform) suggests initiative and a strong drive for learning and building.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to manage complex features (e.g., AI-driven interview prep, real-time collaboration) and an understanding of user needs (admin panels, notifications). The experience at SANGVISH TECHNOLOGIE'S suggests an ability to work in agile and fast-paced settings. The internship at AROOPA TECHNOLOGIES, though brief, indicates exposure to customer service and problem-solving in a team environment.