Sulabh Shrestha
Applied Scientist Intern at George Mason University
Centreville, Virginia, United States
Summary
👤
Senior🎓
Top SchoolSulabh Shrestha is a PhD candidate and Graduate Research Assistant at George Mason University with nine years of experience applying deep learning to computer vision and robotics. He designs and implements self-supervised and multi-modal models for tasks like semantic, panoptic, and referring expression segmentation, and has published in venues such as WACV and IEEE Big Data. His work spans research and engineering—prototyping scalable solutions in Python/C++ using PyTorch, TensorFlow, MONAI and optimized training pipelines—and has improved medical segmentation and distributed training efficiency in industry internships. An award-winning teaching assistant, he also built an automated grading system that cut grading time by 75% and mentors students in advanced AI topics. Collaborative by practice, he contributes to the GMU Vision Robotics group and co-founded a community AI initiative in Nepal, blending cross-disciplinary impact with practical deployment experience.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BE) Electronics and Communication Engineering, Bachelor of Engineering (BE) Electronics and Communication Engineering at Pulchowk Engineering CampusDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at George Mason University
English, Nepali, Hindi
Github Skills (7)
high-resolution3
imagenet2
visual-recognition2
deep-learning2
pyramid2
computer-vision2
pytorch2
Programming languages (1)
Github contributions (5)
sulabh-shr/dbgrader
Mar 2022 - Oct 2023
Contributions:12 pushes in 1 year 7 months
sulabh-shr/pytorch-deeplab-xception
Nov 2021 - Dec 2021
DeepLab v3+ model in PyTorch. Support different backbones.
Contributions:37 pushes, 2 branches in 1 month
deep-learningpytorchdeeplab-v3deeplab
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