Qualification :
MTech in Data Science COEP Technological University
Experience:
Industrial: AI Engineer at PharmaACE
Research Interest/Area:
Deep Learning, Computer Vision, Data Science, Natural Language Processing, Generative AI
Publication :
Conference papers:
T. A. Hirurkar, H. D. Gadade and A. B. Ubale, “A Lightweight Transfer Learning Framework for Multi-Crop Plant Leaf Disease Classification Using EfficientNetV2,” 2026 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2026, pp. 1-6, doi: 10.1109/ESCI68015.2026.11493342. keywords: {Feeds;Central Processing Unit;Internet of Things;Communication systems;Internet;Protocols;Pixel;Telecommunication computing;Mobile handsets;Telecommunications;Plant Leaf Disease Classification;Transfer Learning;EfficientNetV2;Lightweight Deep Learning;Mobile and Edge Computing;Precision Agriculture}
Recent Teachings: (last three years teaching specified):
A.Y. 2026-27
Semester I: Fundamentals of Artificial Intelligence,
Semester V: Fundamentals of Machine Learning
