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Full Stack Engineer with less than a year in Python, FastAPI & React.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Artificial Intelligence and Data Science undergraduate with hands-on experience in Full Stack Development using Python, FastAPI, React.js, and MySQL. Skilled in building scalable RESTful APIs and responsive web applications with strong backend-frontend integration. Possess practical experience through internships and academic projects with solid problem-solving abilities. Seeking an entry-level Software Developer or Full Stack Developer role to apply technical skills and contribute to real-world solutions.
Erode Sengunthar Engineering College
Bachelor's Degree · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Sengunthar Higher Secondary School
Higher Secondary · Computer Science
N/A – May 31, 2022
Younder Bots (OPC) Pvt Ltd
Full Stack Developer Intern
September 1, 2025 – January 31, 2026
India
Student Management System
June 28, 2026 – Present
Designed a web-based platform for managing student records with authentication and database connectivity. Managed student information and payment data through structured CRUD operations. Created user-friendly interfaces for data entry, retrieval, and administrative workflows. Integrated backend services with MySQL to ensure reliable data storage and system performance.
Smart Management System
June 28, 2026 – Present
Engineered a full stack web application with secure role-based authentication using JWT for admin and user access. Created RESTful APIs with FastAPI connected to a MySQL database for efficient data management. Built responsive dashboards using React.js and Bootstrap for task tracking and user management. Implemented CRUD operations, authorization mechanisms, and relational database structures for secure data handling.
Crime Rate Prediction System
June 28, 2026 – Present
Built a machine learning model to predict crime rates using historical datasets and supervised learning techniques. Performed data preprocessing, feature engineering, and exploratory analysis using Pandas and NumPy. Applied regression and classification algorithms with Scikit-learn to identify crime trends and patterns. Visualized analytical insights using Matplotlib and deployed a Flask-based interface for user predictions.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interest, including full-stack development and machine learning, which indicates adaptability. The internship experience aligns well with a Full Stack Engineer role, showing a practical application of learned skills. However, the candidate is still an undergraduate with limited professional experience, which might require more mentorship and integration into a senior-level team's culture.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured tasks and contribute to development workflows. The internship experience suggests an understanding of team collaboration in a professional setting. However, without specific psychometric test results or interview data, a detailed assessment of soft skills like logical reasoning, stress handling, or deeper team collaboration is not possible.