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ABOUT ME
I’m a Computer Science and Engineering student and aspiring Software Developer with hands-on experience in web development and programming, focused on building responsive and user-friendly applications using HTML, CSS, JavaScript, Bootstrap, and React-Bootstrap. I work with languages such as Java, Python, C, and C++, and have a solid foundation in databases, operating systems, and computer networks. I enjoy learning through real-world projects and competitive coding on platforms like CodeChef, HackerRank, and LeetCode. I’m driven to improve my technical skills, write clean, maintainable code, and contribute to reliable, high-performance software projects.
EDUCATION
Bachelor of Technology
Computer Science and Engineering
KL University
Diploma
Computer Engineering
Aditya Polytechnic Colleges
X Class
SSC
Sri Sadguru Vidyalayam
EXPERIENCE
Full-Stack Trainee
T-Hub
- Completed an intensive training program focused on modern full-stack web development practices.
- Mastered HTML5, CSS3, JavaScript (ES6+), Bootstrap, and React.js, applying them to real-world interface problems.
- Developed responsive, interactive user interfaces and built modular components for single-page applications.
- Collaborated with developers to design user-friendly layouts and write clean, maintainable, and standards-compliant code.
SKILLS
HTML
CSS
JavaScript
Bootstrap
C
C++
Java
Python
XML
SQL
Git
GitHub
Spring
React
Postman
Figma
VS Code
PyCharm
Bolt
Lovable
Cursor
CERTIFICATIONS
Microsoft Certified: Azure Fundamentals
AZ-900Issued by Microsoft • Completed
Demonstrated foundational knowledge of cloud services and how those services are provided with Microsoft Azure. Validated concepts including cloud computing, security, privacy, compliance, and trust, as well as Azure pricing and support.
VERIFY CREDENTIALPROJECTS
Featured Project
Gesture-Detection
The AI-Based Hand Gesture Recognition System is a real-time computer vision application that detects and classifies user hand gestures using a pretrained deep learning model trained with Google Teachable Machine. The system captures live video through a webcam, detects hand landmarks using MediaPipe, and predicts gestures from the extracted hand region. This approach enables accurate, efficient, and touch-free interaction and can be applied in areas such as human–computer interaction, sign language recognition, and gesture-based control systems.
Python
OpenCV
MediaPipe
TensorFlow / Keras
Google Teachable Machine
Featured Project
AI Text Summarizer
AI Text Summarizer is a browser-based extension designed to help users quickly understand long or complex text. It analyzes selected content on any webpage in real time and generates clear, concise summaries, helping users save time, improve readability, and grasp key ideas without leaving the page.
HTML
CSS
JavaScript
Node.js
Express.js
Featured Project
Washore
Washore is an AI-based beach monitoring system designed to detect littering activities along coastal areas. Using computer vision, the system identifies litter-related actions on beaches and automatically alerts marine authorities to enable timely intervention and cleanup.
Python
YOLO Object Detection
Computer Vision
Featured Project
Focus Breaker
Focus Breaker is a premium, privacy-focused Chrome Extension (Manifest V3) that curbs website addiction. It redirects blocked sites to an interactive cosmic screen with a guided breathing orb, concentric ripples, and 3D cursor-parallax stars to encourage mindful focus. Built with JavaScript, CSS, and Chrome Extension APIs.
Manifest V3
JavaScript
CSS3
HTML5
GITHUB STATS
Send me a message!
Say hello, dear Nagesh!



