Sumantha K S

Full Stack Developer, ML Engineer & Creative Problem Solver

About Me

Sumantha K S Profile Picture

Hey there! 👋 I’m Sumantha K S, a curious mind and a B.E. AIML student who loves bringing ideas to life with code and creativity.

I enjoy exploring the world of AI, ML, and everything in between — from teaching a model to predict diabetes, to building apps that can summarize long texts, to even crafting tools that weave stories out of thin air ✨. And yes, I also dive into the serious side of tech with projects like a Network Intrusion Detection System 🔐, because keeping systems safe is just as exciting as making them smart.

When I’m not coding, you’ll find me jamming to music, sketching out ideas, or binge-watching sci-fi shows. I believe in the power of technology to make life better and more fun, and I’m always on the lookout for new challenges and opportunities to learn.

Feel free to explore my portfolio and reach out if you want to collaborate or just say hi!

Skills & Technologies

Frontend Development

React, HTML5, CSS3, JavaScript,

Backend Development

Node.js, Python, Java, REST APIs, GraphQL

Database & Cloud

MongoDB, PostgreSQL, Superbase, Firebase, Docker, MySQL

Mobile Development

React Native, Flutter, Progressive Web Apps

Featured Projects

Story Weaver

Developed a full-stack collaborative web application, "Story Weaver," using React for a dynamic frontend and Node.js/Express.js for the backend API. This project challenges conventional storytelling by allowing users to co-author a single narrative one sentence at a time, with each contributor only seeing the last sentence written. The app showcases my ability to design and implement a complete application from concept to deployment, demonstrating skills in API integration, state management, and building intuitive user interfaces.

Diabetes Prediction

This project showcases a machine learning model for predicting the likelihood of diabetes in individuals. Developed as a web-based tool, it provides an intuitive user interface for inputting key health metrics. The application's core functionality relies on a machine learning algorithm trained on a dataset of health information, including factors such as age, BMI, and blood glucose levels.

Let's Connect

I'm always open to discussing new opportunities, interesting projects, or just having a chat about technology. Feel free to reach out!