Aashish Sharma
Team Lead (AI Research) at KLASS
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolAashish 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, Bachelor of Engineering (B.Eng.) Electronics and Communications Engineering at Delhi College of EngineeringDoctor of Philosophy (Ph.D.) Computer Vision and Deep Learning, Doctor of Philosophy (Ph.D.) Computer Vision and Deep Learning at National University of Singapore
Github Skills (57)
depth-estimation10
rawpy10
denoising10
optical-flow10
python8
ai8
matching8
google8
pytorch8
pre-trained-model7
machine-learning7
tensorflow7
generative-adversarial-network7
contrastive-learning7
foundation-models7
Programming languages (5)
Github contributions (5)
aasharma90/LightWeight_RefineNet
Feb 2019 - May 2020
Repository for modified LightWeight-RefineNet (for Semantic Segmentation)
Contributions:29 commits, 1 PR, 27 pushes in 1 year 2 months
semantic-segmentation
aasharma90/NightTime_Datasets
Dec 2019 - Apr 2022
Repository containing a list of labelled/unlabelled nighttime datasets
Contributions:13 commits, 24 pushes, 1 branch in 2 years 4 months
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