Summary
Aashish Sharma is a Principal Researcher in AI based in Singapore with nine years of experience spanning industry and research labs, currently leading applied computer vision work at KLASS Engineering and Solutions. He holds a Ph.D. in Computer Vision and Deep Learning from NUS and previously served as a Research Scientist at A*STAR’s I2R, where he developed robust algorithms for low-level vision and visibility enhancement under challenging conditions. His technical focus includes depth from stereo, optical flow, denoising, shadow removal, low-light enhancement, HDR imaging, and radiometric calibration—especially for nighttime and fog-degraded imagery. Before transitioning to research, he spent four years in SoC functional verification at NXP, giving him strong systems and hardware-aware perspectives on imaging pipelines. Known for bridging rigorous academic methods with practical deployment needs, he excels at turning complex image-restoration problems into performant solutions for real-world sensing. Fluent in both research and engineering settings, he brings a rare combination of deep technical pedigree and hands-on product-oriented experience.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electronics and Communications Engineering, 3.78/4.00, Bachelor of Engineering (B.Eng.), Electronics and Communications Engineering, 3.78/4.00 at Delhi College of Engineering
Doctor of Philosophy (Ph.D.), Computer Vision and Deep Learning, 4.92/5.00, Doctor of Philosophy (Ph.D.), Computer Vision and Deep Learning, 4.92/5.00 at National University of Singapore