Shabbeer Basha is an Associate Professor and machine learning researcher based in Bengaluru with eight years of experience focused on understanding and improving generalization in deep neural networks. He holds a Ph.D. in Computer Vision and Deep Learning and combines academic rigor with industry practice from roles spanning senior ML scientist and technical lead positions to faculty appointments. His recent work centers on neural network compression and active learning, bridging theoretical insights with applied computer vision systems. Having transitioned between industry and academia, he brings practical production experience from companies like Lytx and startups to his current research and teaching, enabling him to translate research ideas into deployable solutions. An educator at heart, he continues to mentor students while pursuing research that targets both efficiency and robustness in deep models.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Jawaharlal Nehru Technological University, Anantapur
SSC, SSC at ZPHS, Hindupur
Doctor of Philosophy (Ph.D.) Computer Vision | Deep Learning, Doctor of Philosophy (Ph.D.) Computer Vision | Deep Learning at Indian Institute of Information Technology, SriCity
Master’s Degree Computer Science, Master’s Degree Computer Science at JNTUA College of Engineering, Pulivendula
Contributions:63 commits, 54 pushes, 1 branch in 1 year
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