I am an Assistant Professor at SR University with a passion for teaching, mentoring, and conducting impactful research in Artificial Intelligence. My current research focuses on Deep Learning, Computer Vision, Explainable Artificial Intelligence (XAI), Natural Language Processing (NLP), and AI-driven solutions for Agriculture, with an emphasis on developing intelligent, interpretable, and real-world systems.

I teach a diverse range of undergraduate and postgraduate courses, including Data Structures, C, Java, Web Technologies, Full Stack Development, DevOps, Discrete Mathematics, and Cloud Computing. My teaching philosophy emphasizes curiosity-driven learning, hands-on experimentation, and product-oriented education, enabling students to bridge theoretical concepts with practical, industry-relevant applications.

As the Department Internship Coordinator, I collaborate with students and industry partners to facilitate meaningful internship opportunities that enhance technical competencies, professional skills, and career readiness. I also mentor students in academic projects, research, innovation, hackathons, and career development, encouraging them to build intelligent solutions that address real-world challenges.

While my current research is centered on Artificial Intelligence, I continue to leverage my expertise in Cloud Computing, including AWS and Google Cloud, to develop scalable AI solutions and support interdisciplinary research and modern software development.

My professional interests include Artificial Intelligence, Deep Learning, Computer Vision, Explainable AI (XAI), Natural Language Processing, Agricultural AI, Machine Learning, Cloud Computing, Full Stack Development, DevOps, Responsible AI, and Technology-Enhanced Education.

I am always open to research collaborations, interdisciplinary projects, academic partnerships, industry collaborations, mentoring opportunities, and knowledge sharing that contribute to advancing AI and developing innovative solutions with real-world impact.