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Fullstack Engineer with less than a year in MERN stack and AI/ML.
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Assessing your cultural and operational fit
Detail-oriented graduate passionate about building end-to-end web applications. Focused on using modern frontend and backend frameworks to deliver seamless digital solutions. Ready to add value to a fast-paced team through collaboration and clean code.
Idhaya Engineering College
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Cervical cancer prediction using DL
June 19, 2026 – Present
Developed a deep learning-based system to predict cervical cancer from medical data and images. Used Python as the programming language, for building the deep learning model. Used NumPy and Pandas for data preprocessing and Matplotlib for data visualization. Used OpenCV for image preprocessing.
Online attendance system
June 19, 2026 – Present
Developed an Online Attendance System as a web application to automate attendance management in educational institutions. The system allows teachers to log in, mark attendance for students, and store the data in a database. The project was developed using HTML, CSS, JavaScript for the frontend, and MySQL for database management.
Library Management System
June 19, 2026 – Present
Developed a web-based system to manage and track library book stock, student records, and issue/return transactions. Used HTML, CSS, JavaScript for the frontend and MySQL for database management. The system allows the librarian to add and update book details, issue books to students, and track return dates.
Analyzing Air Quality Index
June 19, 2026 – Present
Developed an Air Quality Index analysis application using the Appian Cloud Platform. Displays the Air Quality Index through interactive dashboards. The goal was to provide an easy way to monitor air quality worldwide.
AI & IoT-Based Intelligent Energy Monitoring and Optimization System
June 19, 2026 – Present
Real-time monitoring of energy consumption using IoT sensors. Automatic appliance control to reduce power wastage. Improved energy efficiency through intelligent optimization. Used IoT, Machine Learning, Python, ESP32/NodeMCU, Cloud Database to do this work.
Appian Administrator
Unknown
June 1, 2026 – Present
Appian Developer
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interests across web development, AI/ML, and IoT, which could indicate adaptability and a curious mindset. The MERN stack internship and Appian certifications suggest a proactive approach to skill development. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate environment. The target role is Fullstack Engineer, and while the candidate has some relevant skills, the depth of experience is limited to academic settings.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse technical challenges, from web development to AI/ML and IoT. The MERN stack internship indicates an interest in full-stack development and a willingness to learn new frameworks. 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.