Currently pursuing a Ph.D. from Bennett University India, my research topic is to optimize large Deep Learning models for devices with limited resources such as mobile or other edge-devices. I am also working as a workshop speaker, and mentor at leadingIndia.ai. Before joining Ph.D., I was working as an Assistant Professor in the Department of Computer Science and Engineering, Sushila Devi Bansal College of Technology, Indore, Madhya Pradesh, India.
- Machine/Deep Learning
- Computer Vision
- Model Compression and acceleration
- Internet of Things (IoT)
- Ph.D. (Pursuing) from Bennett University, India
- Master of Engineering (M.E.) in Computer Engineering, Specialization in Software Engineering from Institute of Engineering and Technology (IET), Devi Ahilya Vishwa Vidyalaya (DAVV), Indore, Madhya Pradesh, India, 2014
- B.E. in Computer Science & Engineering from Government Engineering College Jabalpur, Madhya Pradesh, India, 2006
ORCID ID: https://orcid.org/0000-0003-4792-2865
Coursera: Neural Networks and Deep Learning, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization, Structuring Machine Learning Projects, Sequence Models.
NVIDIA Deep Learning Institute: Fundamentals of Deep Learning for Computer Vision, Fundamentals of Deep Learning for Multiple Data Types
Microsoft Technology Associate (MTA): Database Fundamentals Certified, Networking Fundamentals Certified