Kushal Kafle
Senior Research Scientist at Adobe
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolKushal Kafle is a Senior Research Scientist with a decade of experience applying deep learning to visual and multimodal reasoning, currently leading research at Adobe in Sunnyvale. His Ph.D. in Imaging Science underpins a focused research trajectory in visual question answering (VQA), where he has developed novel algorithms, datasets, and Bayesian approaches that improved state-of-the-art performance. Published across top venues including CVPR, ICCV, NeurIPS and ACL, he blends computer vision, NLP, and robustness/bias analysis to push both practical and diagnostic advances. Having progressed from research intern to senior scientist at Adobe and completed research internships at Microsoft, he pairs academic rigor with product-aware research delivery. An under-the-radar strength is his consistent emphasis on measuring and mitigating model bias and robustness in multimodal systems, not just raw accuracy.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Imaging Science, Doctor of Philosophy (Ph.D.), Imaging Science at Rochester Institute of TechnologyBachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, First Division, Bachelor of Engineering (BE), Electrical, Electronics and Communications Engineering, First Division at Institute of Engineering, Tribhuvan University
English, Nepali, Nepali
Github Skills (34)
pytorch10
python10
machine-learning10
deep-learning10
visual-question-answering10
arxiv10
data-science9
nearest-neighbors9
caffe9
robotics9
similarity9
alarm9
tensorflow9
clock9
clustering9
Programming languages (5)
Github contributions (5)
kushalkafle/DVQA_dataset
Jun 2018 - Jun 2019
Contributions:3 commits, 2 pushes, 1 branch in 1 year
kushalkafle/kushalkafle.github.io
Mar 2016 - May 2024
Contributions:160 pushes, 1 branch in 8 years 3 months
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