About
I’m a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning at M. S. Ramaiah University of Applied Sciences, passionate about transforming ideas into intelligent, data-driven software solutions. My journey blends AI, data science, and software development, giving me hands-on experience in designing ML models, analyzing real-world datasets, and deploying full-stack applications. One of my key projects — a Heart Attack Risk Prediction Web App — combines machine learning with a Flask backend and a responsive HTML/JavaScript frontend to deliver real-time health predictions. I enjoy building solutions that merge data analytics, intelligent automation, and clean code, while continuously improving my problem-solving and system design skills. I’m currently open to internships and entry-level opportunities in: 🖥️ Software Development / Engineering 🤖 Machine Learning / AI Engineering 📊 Data Science / Data Analytics ⚙️ Tech Stack: Python, Flask, scikit-learn, SQL, Java, HTML, CSS, JavaScript, pandas, NumPy ⚡ Core Interests: AI & ML, Data-Driven Applications, Full-Stack Development, Predictive Analytics, and Cloud Integration 💬 Let’s connect — I’m always open to collaborations, internships, and conversations about building impactful, intelligent systems!
Education
Bachelor of Technology, Artificial Intelligence and Machine Learning, M. S. RAMAIAH UNIVERSITY OF APPLIED SCIENCES
Diploma in computer science and engineering, Computer Engineering, Ramaiah polytechnic
