Vidit Goel
Machine Learning Engineer at Snap Inc.
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolVidit Goel is a Machine Learning Engineer with nine years of experience building production-ready computer vision and generative models, currently shipping 3D and on-device generative features at Snap that reach millions of users. He combines a strong research pedigree—publications at CVPR, WACV, TIP and IROS and internships at IBM and University of Oregon—with hands-on product delivery from dataset curation to deployment. At Snap he led the first-in-market on-device text-to-animated Gaussian splats and owned multiview reconstruction pipelines; previously he drove generative image editing and video background removal at Picsart. A former governor of IIT Kharagpur’s robotics society, he pairs technical depth in multiview and compression techniques with team leadership and large event organization experience. Energetic and curious, he thrives at the intersection of CV, DL and product impact.
9 years of coding experience
6 years of employment as a software developer
Master of Technology - MTech, Instrumentation and Signal Processing Engineering, Master of Technology - MTech, Instrumentation and Signal Processing Engineering at Indian Institute of Technology, Kharagpur
Github Skills (106)
efficientnet10
optimizer9
audio9
resnet9
flux9
mobilenet9
data-visualization8
computer-vision8
active-learning8
face-recognition8
face8
imagenet8
python8
deep-learning8
data-cleaning8
Programming languages (3)
Github contributions (5)
vidit98/graphconv
May 2019 - Oct 2019
Contributions:22 commits, 22 pushes, 1 branch in 4 months
vidit98/FrameSelect
May 2020 - Feb 2021
Winning team in DAVIS, CVPR 2020 on challenge dataset in unsupervised scenario
Contributions:2 reviews, 42 commits, 46 pushes in 8 months
davisscenariocvpr-2020datasetcomputer-vision
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