Educator, researcher, and lifelong learner passionate about making technology meaningful and accessible — building the future of education through code.
Ph.D. · Senior Assistant Professor · Dept. of CSE
Gurukula Kangri (Deemed to be University), Haridwar
WHO I AM
With 15 years of experience, I help students unlock the power of problem-solving through programming — especially in C — and translate complex AI concepts into intuitive, self-paced learning experiences.
My research focuses on deep learning, personalized recommendation systems, and reinforcement learning — exploring hybrid models that bridge multiple domains to bring theoretical models to real-world relevance.
Building technology solutions that solve real problems in education and beyond — from EdTech platforms and full-stack prototypes to AI-powered tools that make learning more accessible and engaging.
ABOUT
I'm an educator, researcher, and lifelong learner passionate about making technology meaningful and accessible. My work lives at the intersection of computer science and education, where I help students unlock the power of problem-solving through programming — especially in C — and translate complex AI concepts into intuitive, self-paced learning experiences.
My research focuses on deep learning, with a current emphasis on personalized recommendation systems and reinforcement learning. I'm exploring hybrid models that bridge multiple domains, aiming to improve how we understand user behavior across platforms. Whether it's LSTMs, GANs, or autoencoders, I thrive on bringing theoretical models to real-world relevance.
Let's build things that matter — intelligently, ethically, and with purpose.
RESEARCH
Introduction Large Language Models (LLMs) such as OpenAI ChatGPT, Google Gemini, and Anthropic Claude have revolutionized natural language processing by demonstrating remarkable capabilities in text generation, question answering, summarization, translation,...
Learn More →Exploring generative models like GANs to address data sparsity in recommender systems.
Learn More →Developing self-paced learning structures that adapt dynamically based on student performance.
Learn More →Designing hybrid models (LSTMs, autoencoders) to improve user modeling and recommendation accuracy.
Learn More →INSIGHTS
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!
Read More →Interested in research collaboration, academic consultation, or have questions? I'd love to hear from you.