Vignesh Gokul
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolVignesh Gokul is an Applied Scientist with a decade of experience blending deep learning research and practical ML engineering, now working at Amazon after completing a PhD at UC San Diego. His doctoral work under Shlomo Dubnov and Manmohan Chandraker centers on generative models for content creation, cross-domain translation, and spatio-temporal data, with internships at Adobe, Unity, and Samsung that translated research into production-ready tooling. He has a strong teaching and mentoring background—guiding over 150 students across NSF-funded programs and TAing courses on ML for 3D data and statistics—which complements his research focus. Notably, he developed a single-image GAN for texture synthesis at Unity that enabled both synthetic data generation and asset variability for artists, showing a knack for creative, application-driven modeling. Based in Seattle, he pairs rigorous academic training with hands-on system-building to push generative AI from prototype to impact.
10 years of coding experience
4 years of employment as a software developer
University of California, San DiegoHigher Secondary (12th) Computer Science 95.2% (476/500), Higher Secondary (12th) Computer Science 95.2% (476/500) at Chennai Public SchoolBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Sri Sivasubramaniya Nadar College Of EngineeringAll India Secondary School Examination (Class 10) 10.0/10.0, All India Secondary School Examination (Class 10) 10.0/10.0 at Jawahar Vidyalaya
English, French, Tamil
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
machine-learning8
pytorch8
python8
tensorflow7
data-science7
deep-learning7
neural-network5
jax4
Programming languages (1)
Github contributions (5)
GV1028/videogan
Mar 2018 - Mar 2018
Contributions:13 commits, 10 pushes, 1 branch in 11 days
GV1028/Video_Generation
Jul 2017 - Aug 2017
Contributions:6 pushes, 1 branch in 1 month
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