Siddhesh Khandelwal
Graduate Research Assistant
Greater Vancouver Metropolitan Area Canada
Summary
👤
Senior🎓
Top SchoolSiddhesh Khandelwal is a computer vision and machine learning researcher and PhD student at the University of British Columbia with a decade of experience across academia and industry. As a Graduate Research Assistant in Prof. Leonid Sigal’s lab he focuses on scene graph generation and learning with fewer labels, blending CV and NLP techniques. His internships at Amazon Go, Microsoft Research, Argo AI, Borealis AI and Adobe delivered practical advances in zero-shot object detection, error mitigation in neural models, trajectory forecasting and generative models. He has substantial teaching experience across large undergraduate AI and algorithms courses, mentoring hundreds of students while maintaining an active research agenda. Notably, his work consistently targets robust, low-label or black-box solutions that translate research insights into competitive baselines for real-world systems.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 8.65/10, Bachelor of Technology - BTech, Computer Science, 8.65/10 at Indian Institute of Technology, GuwahatiDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of British Columbia
Stackoverflow
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0reached
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Github Skills (24)
python10
k-means-clustering10
data-science9
pytorch9
machine-learning9
tensorflow9
deep-learning9
jax9
prediction9
scene-graph8
gpu7
segmentation7
autonomous-driving7
neural-network5
self-driving-car5
Programming languages (2)
Github contributions (5)
ubc-vision/segmentation-sg
Aug 2021 - Feb 2022
Code Release for the paper Segmentation Grounded Scene Graph Generation
Contributions:17 commits, 2 PRs, 12 pushes in 5 months
scene-graphsegmentation
ubc-vision/UniT
Jun 2021 - Jan 2022
Contributions:4 commits, 16 pushes, 2 branches in 7 months
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