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Sham M

Python & Java Full Stack Developer

class Developer {

skills: ["Problem Solving", "Innovation", "Clean Code"]

passion: "Building Digital Solutions"

status: "Ready to Code!"

}

"Code is like humor. When you have to explain it, it's bad." - Cory House

B.Tech IT Graduate | Turning Ideas into Digital Reality

Passionate about building real-world IT solutions that improve productivity and user experience. Let's build the future together!

View My Work Get In Touch

About Me

I am a B.Tech Information Technology graduate (2023–2027) from Karpagam College of Engineering with a strong passion for software development, automation, and web technologies.

My journey in technology has been driven by curiosity and the desire to create meaningful solutions. I believe in continuous learning and staying updated with the latest industry trends.

My goal is to start my career as a Software Developer / Web Developer / IT Engineer and grow into a versatile professional who can contribute to innovative projects.

🎓

Education

B.Tech IT
2023-2027

💻

Focus

Web Development
& Automation

🚀

Projects

Interactive Maps
& Web Apps

🎯

Goal

Software
Developer

Skills & Technologies

⚡

Languages

Java
Python
JavaScript
HTML & CSS

🛠️

Frameworks

React
Node.js
JavaScript ES6

🔧

Tools & Tech

VS Code
MapLibre GL
Pandas
REST APIs

🗄️

Databases

MySQL
MongoDB

Featured Projects

🗺️

3D Interactive Campus Map

Advanced Mapping Solution

Developed a comprehensive 3D interactive campus map using cutting-edge web technologies. Features real-time navigation, pathfinding algorithms, and immersive 3D visualization.

JavaScript MapLibre GL GeoJSON Dijkstra's Algorithm MapTiler

📱

Personal Productivity Apps

Task Management Suite

Created a suite of productivity applications including task managers and UI-focused projects. Emphasizes clean design, user experience, and efficient task management workflows.

React JavaScript ES6 UI/UX Design Task Management

🧑‍🌾

AgriAssist360

ML-Powered Crop Management App

A Flask-based web app to help farmers with crop management using a CNN model. It classifies fruit quality from images, supports multiple languages, and provides cultivation info with seasonal alerts.

Flask Python TensorFlow Keras CNN Machine Learning