Conducted applied AI research in collaboration with the National Institute of Fashion Technology (NIFT) to enhance fabric classification using deep learning.

• Designed and implemented a custom CNN-based model tailored for recognizing culturally rich Indian textile patterns
• Curated and preprocessed a custom dataset of over 2,000 high-resolution fabric texture images spanning diverse weave styles
• Achieved a 91% test accuracy by applying advanced techniques such as regularization, augmentation, and hyperparameter tuning

Analyzed the security posture of over 250 smart home and IoT devices, identifying critical vulnerabilities and misconfigurations.

• Conducted in-depth risk assessments and penetration tests across a variety of device ecosystems
• Proposed and documented actionable mitigation strategies and contributed to detailed technical vulnerability reports
• Supported efforts to improve security awareness in consumer-grade IoT infrastructure through research-driven recommendations