I craft exceptional digital experiences with code, creativity, and a passion for innovation.
I'm a final-year dual-degree IT student at ABV-IIITM Gwalior with a strong foundation in software engineering and a passion for building practical solutions. I enjoy working on meaningful projects that combine clean design, efficient code, and thoughtful problem-solving.
When I'm not coding, you can find me tuning into music or dancing it out and exploring new technologies to expand my skills across development, design, and applied research.
An ultra-lightweight model distilled from a larger CNN, optimized to just 0.05KB using Knowledge Distillation for detecting compromised IoT devices in resource-constrained environments.
A deep learning system that detects pneumonia from medical images using CNNs, enhanced with Explainable AI to provide transparent and trustworthy results for better healthcare decisions
A full-stack web app featuring secure OAuth2.0 authentication, role-based access control, and hierarchical threaded comments—designed to enable smooth, organized, and secure user discussions.
Conducting research on Alzheimer's detection using Carnet, ADNI, and XAI to improve early-stage diagnosis accuracy. Developing and testing deep learning models for medical imaging analysis.
Conducted a comparative analysis of LSTM and CNN models combined through model fusion to predict epileptic seizures. Evaluated key performance metrics to achieve robust and accurate EEG signal classification.