About Me
B.Tech Computer Science student at Sree Chaitanya Institute of Technological Sciences with a strong focus on Deep Learning, Computer Vision, and Multimodal AI. Building real-world AI systems — from MRI tumor detection to multilingual legal platforms — one model at a time.
Focus Areas
Designing and training deep neural architectures for complex pattern recognition tasks.
Image classification, segmentation, and visual understanding using CNNs and modern architectures.
Applying AI to MRI scans and clinical imaging for automated diagnostic assistance.
Combining vision, language, and speech models into unified intelligent pipelines.
Academic Background
Work
CNN-based brain tumor detection model with an end-to-end pipeline including image preprocessing, data augmentation, training, and evaluation. Automated MRI scan classification to identify tumor patterns.
ResNet18-based plant disease classifier with a Streamlit interface for real-time prediction. Integrated a hybrid pipeline combining CNN predictions with Gemini multimodal model to detect previously unseen symptoms.
Full-stack platform for managing project, research paper, and patent submissions within a campus innovation ecosystem. Features analytics dashboards and submission workflow monitoring.
Competitions
AI-powered multilingual legal aid platform designed to provide accessible legal insights for users across linguistic barriers.
Technical Toolkit
Recognition
Learning
Get In Touch
Open to internships, research collaborations, and interesting AI/ML projects.