Vrashali Nagesh Kodgire
Computer Science Engineer
Skills & Tools
- Python
- Java
- C
- MySQL
- MongoDB
- Artificial IntelligenceArtificial Intelligence
- Machine LearningMachine Learning
- HTML
- CSS
- JavaScript
About Me
I'm Vrashali Nagesh Kodgire, a Computer Science and Engineering graduate passionate about software development, Artificial Intelligence, Machine Learning, and Full Stack Development. I enjoy building innovative, user-friendly applications that solve real-world problems. With hands-on experience through internships, academic projects, and a published research paper, I am eager to contribute my technical skills, continuously learn new technologies, and grow as a Software Engineer.
Work Experience
February 2026 – April 2026
AI/ML Project Intern
Infosys Springboard
Developed an AI-powered research paper analysis system using Python and NLP.
Integrated features such as text summarization, semantic search, sentiment analysis, keyword extraction, and chatbot querying.
Processed and analyzed 100+ research papers for automated information extraction.
Implemented reference analysis, paper scoring, and report generation modules.
Collaborated on building scalable and intelligent AI solutions using machine learning techniques.
September 2025 – October 2025
Web Development Intern
Zidio Development
Developed responsive web applications using HTML5, CSS3, and JavaScript.
Integrated front-end interfaces with back-end components to enhance application functionality.
Optimized website performance and responsiveness across multiple devices.
Collaborated with the development team to build scalable and maintainable web solutions.
Applied best practices in web development to improve user experience and application performance.
Education
2023-2026
Bachelor of Technology (Computer Science and Engineering)
MGM's College of Engineering, Nanded
2020-2023
Diploma (Information Technology)
Government Polytechnic, Nanded
Projects
Melanoma Disease Detection
Developed an AI-powered skin lesion classification system to detect melanoma using deep learning techniques. The application leverages a Convolutional Neural Network (CNN) model trained on dermoscopic images to classify skin lesions as melanoma or non-melanoma. Image preprocessing and feature extraction techniques were applied to improve prediction accuracy. This project demonstrates the application of computer vision and deep learning in healthcare for early skin cancer detection
Employee Payroll Management System
Designed and developed a desktop-based payroll management system to automate employee salary processing and payroll administration. The system efficiently manages employee records, calculates salaries and taxes, tracks leave information, and generates payroll reports. It simplifies payroll operations while ensuring accuracy and reducing manual effort through database integration and automated calculations.
Music Website
Built a responsive music streaming website that provides users with an interactive and engaging music listening experience. The application allows users to browse songs, control audio playback, manage playlists, and navigate seamlessly across multiple pages. The project focuses on responsive design, intuitive user experience, and modern front-end development practices.