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FullStack (Mern) Developer with less than a year in MERN Stack & Web Applications
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Assessing your cultural and operational fit
Full Stack Developer (MERN) and React Enthusiast with practical experience in building SaaS-based applications. Proficient in developing UI components, managing application state with Redux, and contributing to large-scale projects. Skilled in machine learning integration for web applications and experienced in creating robust backend solutions using Node.js and MongoDB.
KLN COLLEGE OF ENGINEERING
Master of Computer Application · Computer Application
September 1, 2023 – July 1, 2025
SOURASHTRA COLLEGE
Bachelor of Computer Science · Computer Science
June 1, 2020 – April 1, 2023
MIND VISION TECHNOLOGIES
MERN Stack Developer Intern
January 1, 2025 – June 1, 2025
Madurai, Tamil Nadu, India
DIABETES PREDICTION
May 1, 2025 – Present
Developed a web-based Diabetic Prediction System using machine learning algorithms like Decision Tree, AdaBoost, and Random Forest to predict diabetic risk accurately. Built the frontend with React and used Python for prediction, along with Node.js and MongoDB for backend and database operations. Enabled users to enter health details such as age and glucose level, process them securely, and instantly display prediction results without visiting a hospital.
View ProjectSTACK OVERFLOW CLONE
April 1, 2024 – Present
Developed a Stack Overflow-like Q&A platform using React and Node.js. Implemented key features like secure login, live voting, user reputation tracking, smart tagging, and easy moderation tools. Enhanced performance and UI/UX for faster, easier problem-solving.
View ProjectHOSPITAL MANAGEMENT SYSTEM
November 1, 2023 – Present
Developed a responsive Hospital Management System using HTML, CSS, JavaScript, and MySQL. Implemented role-based dashboards and real-time data updates to improve staff productivity. Simplified hospital workflows with automated reports and centralized patient information management.
View ProjectWeb Development covering React, Power BI, and MERN
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from healthcare systems to Q&A platforms and machine learning integration. The MERN stack focus aligns well with the target role. The internship experience, though short, shows an ability to work within a team on a SaaS product, indicating a willingness to contribute to larger organizational goals. The listed soft skills also suggest a team-oriented mindset.
Soft Skills & Operational Fit
The candidate highlights collaboration, problem-solving, and adaptability in agile environments, which are crucial for operational fit. The project descriptions indicate an ability to work on diverse features and integrate different technologies, suggesting a proactive approach to development tasks.