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Software Developer with 1+ years in Python, Django, React.js, and data analysis.
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 Software Developer with hands-on experience in Python, Django, React.js, and MongoDB. Proficient in building full-stack web applications and integrating REST APIs. Eager to contribute technical skills and innovative solutions to develop efficient and scalable software systems.
Jawaharlal College of Engineering and Technology
Bachelor of Technology (B.Tech) · Computer Science and Engineering
August 1, 2021 – June 30, 2025
GHSS Vellinezhi
Higher Secondary (Class XII)
June 1, 2018 – May 31, 2020
Right Soft Options
Python Full Stack with Data Science Trainee
August 1, 2025 – Present
Cochin, Kerala, India
Zaalima Technologies
Data Analytics Intern
July 1, 2025 – September 1, 2025
Bengaluru, Karnataka, India
Softroniics
UI/UX Design Intern
February 1, 2025 – March 1, 2025
Pālghāt, Kerala, India
Genzee Technologies
Mobile App Development Intern
July 1, 2024 – August 1, 2024
Cochin, Kerala, India
Employee Attendance and Payroll API
June 28, 2026 – Present
Developed a RESTful API using Python and Django to manage employee attendance, leave tracking, and payroll processing, improving automation of HR operations. Implemented CRUD operations, authentication, and database integration using MongoDB/MySQL to ensure secure and efficient employee data management. Designed API endpoints for attendance tracking and automated salary calculation, reducing manual payroll processing time and improving accuracy.
Harnessing AI for Deepfake Detection in Images
June 28, 2026 – Present
Developed an AI-based deepfake detection system using Python and machine learning techniques to identify manipulated or synthetic images. Applied image processing and deep learning models to analyze visual patterns and detect image authenticity. Improved digital content verification and security by enabling early detection of manipulated media, helping reduce the spread of misleading or fake visual information.
Fruit Disease Identification and Classification using Machine Learning
June 28, 2026 – Present
Developed a machine learning model using Python to identify and classify fruit diseases from image datasets using image processing and classification algorithms. Applied data preprocessing, feature extraction, and model training techniques to improve disease detection accuracy. Enabled early detection of plant diseases, helping support better crop management and agricultural productivity.
Smart Gloves for Blind People
June 28, 2026 – Present
Developed an assistive technology solution using embedded systems and sensors to help visually impaired individuals detect nearby obstacles. Integrated sensor-based detection and alert mechanisms to provide real-time feedback and navigation assistance. Improved accessibility and mobility for visually impaired users, enabling safer and more independent movement in daily environments.
Cultural Fit Analysis
The candidate's project diversity, ranging from web development to AI/ML and embedded systems, indicates a broad interest in technology and a willingness to explore different domains. The internships in various tech areas (full-stack, data analytics, UI/UX, mobile app development) suggest an adaptable individual eager to learn and contribute across different teams. This breadth of experience, even at an early career stage, points to a good cultural fit for dynamic and innovative environments.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, time management, and adaptability as soft skills. The project descriptions indicate an ability to work on diverse technical challenges and contribute to various aspects of software development, suggesting a good operational fit for roles requiring cross-functional engagement.