About

I am a Machine Learning Researcher with expertise in cybersecurity, generative AI, and computer vision. I hold a Bachelor of Technology in Computer Science and Engineering from Swami Rama Himalayan University, where I developed a strong foundation in programming, data structures, and algorithms.

My professional journey began during the COVID-19 pandemic when I developed an information system for COVID-19 guidelines during a 24-hour hackathon, winning first place. This experience highlighted the critical role of technology in healthcare and prompted me to pursue specialized training in Python for Data Science and subsequently machine learning.

I completed Andrew Ng's Machine Learning course, which provided comprehensive knowledge of fundamental ML concepts and algorithms. This training, combined with active participation in the open-source community, has enabled me to contribute to various research projects.

My research interests span the intersection of machine learning with cybersecurity and healthcare, with particular emphasis on deepfake detection, cloud computing security, AI-driven threat analysis, and medical imaging applications. I have published multiple papers in IEEE conferences and international proceedings exploring these critical areas of AI and computing.

Research Interests

• Machine Learning: Deep learning architectures, convolutional neural networks, and model optimization
• Cyber Security: AI-driven threat detection, deepfake detection mechanisms, and security analysis
• Generative AI: Synthetic media detection and adversarial machine learning
• Healthcare AI: Medical imaging analysis, disease detection and classification, and AI-driven diagnostic systems

Publications