Headline

Computer Science @ Alliance University | Medical AI & Computer Vision Researcher | Medical Imaging, Deep Learning & Multimodal Learning | Full-Stack AI Developer

About

Computer Science undergraduate at Alliance University with research interests in Medical AI, Computer Vision, Multimodal Learning, and Explainable AI. focusing on deep learning systems for medical imaging and diagnostic support. My work primarily involves developing AI models for diabetic foot ulcer analysis, diabetic retinopathy detection, medical image segmentation, and multimodal clinical assessment using CNNs, Vision Transformers, and PyTorch-based pipelines. I am particularly interested in building practical and interpretable AI systems that can contribute to real-world healthcare applications. Beyond research, I enjoy building full-stack AI applications and experimenting with systems that combine machine learning with intuitive user experiences. I have worked on projects involving voice-powered interfaces, recommendation systems, and real-time computer vision applications. Technical interests include: • Medical AI & Healthcare Informatics • Computer Vision & Deep Learning • Multimodal Learning • Explainable AI (XAI) • Vision Transformers & Representation Learning • Full-Stack AI Systems Currently exploring opportunities in AI research, applied machine learning, and collaborative projects at the intersection of healthcare and intelligent systems.

Location

Bengaluru

AI stack

antigravity

claude

codex

deepseek

hugging face

ChatGPT

Education

Computer Science, Artificial Intelligence, Alliance University