I'm Surya, a final year B.Tech student specializing in Artificial Intelligence & Data Science. I genuinely enjoy building things — whether it's a full stack web app or a machine learning model that solves an actual problem. I'm always looking to learn something new and build stuff that's useful.
I've worked on a mix of academic and freelance projects — from backend APIs to ML prototypes. Most of what I know came from building things, breaking them, and fixing them.
B.Tech in Artificial Intelligence & Data Science (Final Year).
I want to become a full stack developer and AI engineer who builds products people actually use. Not just projects that look good on paper.
An AI-powered fitness coaching platform I built that gives users personalized workout plans and tracks their diet. It includes real-time progress analytics so people can actually see how they're doing over time.
Python, Flask, Machine Learning
A regression model I built to predict car prices. I cleaned and explored the data, did feature engineering, and tested different models to get better results. It was a good exercise in working with real-world messy data.
Python, scikit-learn, pandas
A deep learning model I developed to detect brain tumors from MRI scans. I used convolutional neural networks for the classification task and managed to get pretty good accuracy. It was challenging but rewarding to work on something that could actually help in healthcare.
Python, TensorFlow, OpenCV
Vivekanandha College of Engineering for Women, Tiruchengode
I'm in my final year of B.Tech AI & DS. Right now I'm working on a capstone project that involves deep learning and also building a full stack app on the side. I try to show up to as many hackathons and workshops as I can.
Self-Employed
I've been doing freelance work for the past couple of years — building websites and APIs for small businesses and startups. I've delivered around 8 projects using React, Node.js, and MongoDB, and I've managed to finish most of them on time.
Prodigy InfoTech
During my internship at Prodigy InfoTech, I worked on predictive ML models — one for customer churn and another for sentiment analysis. I used Python, scikit-learn, and TensorFlow, and the best model I built hit around 92% accuracy.
MongoDB University
Learned how to design and work with MongoDB properly — from data modeling and aggregation pipelines to indexing and making things run faster. It's the database I reach for most often now.
Oracle
This certification helped me strengthen my Java fundamentals — object-oriented programming, exception handling, streams, and some of the newer features in Java 17. It's been useful for several of my backend projects.