About Me
I'm a 21-year-old Machine Learning enthusiast based in Bengaluru, currently pursuing my B.E. in Artificial Intelligence and Machine Learning at CMR Institute of Technology.
Skilled in Python, SQL, and full-stack development using React. I have practical experience in building data science pipelines and implementing machine learning algorithms.
I am passionate about leveraging AI to solve real-world challenges, with a strong foundation in deep learning, generative models, and applied AI research. My goal is to build intelligent systems that drive meaningful impact.
Languages & Frameworks
AI & Machine Learning
Data & Tools
Platforms & Other
◆ Education
Expected 2026
B.E. in Artificial Intelligence & ML
CMR Institute of Technology, Bengaluru.
CGPA: 8.66
2022
Pre-University Course - Science (PCMB)
St Joseph's Pre University College, Bengaluru.
Score: 83.3%
2020
10th Grade – ICSE
Cambridge School, Bengaluru.
Score: 81.8%
◆ Experience
Jan 2026 – May 2026
Data Scientist Intern
Cheerans Global Solutions Pvt Ltd.
Designed and implemented the frontend for a cafe billing software. Executed data analysis, cleaning, and built interactive dashboards.
Selected Work
Full-Stack - Real-time
JourneySync App (Startup Idea)
A comprehensive platform for live ride coordination and journey management. Features real-time maps, sophisticated user lobbies, ride radar, and a join-request approval flow designed to streamline shared travel.
React - Node.js - NLP
AI Resume Screener & Chatbot
Automates resume screening and candidate engagement. Uses Hugging Face and spaCy NLP to semantically match candidates, providing explainable scores and real-time chatbot feedback.
Python - TensorFlow Lite - Mobile AI
CardioGuard: AI Heart Analyzer
Transforms smartphones into AI-powered cardiac screening tools using mel-spectrogram preprocessing and deep learning. Optimized with TensorFlow Lite for real-time, offline heart-sound analysis.
GenAI - Computer Vision - Real-time Tracking
Operation Gridlock
A vehicle detection and pursuit system for citywide CCTV networks. Combines segmentation, visual restoration, and route forecasting to isolate target vehicles and generate geo-coordinate alerts.