Koutilya Pnvr
Applied Scientist 4 at Adobe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolKoutilya Pnvr is an Applied Scientist at Adobe specializing in large-scale video foundation models for text-to-video, controllable video editing, and video super-resolution, leveraging a Ph.D. in Computer Vision from the University of Maryland. Over nine years he has bridged deep generative research—GANs and latent diffusion models—with production-focused engineering, driving advances in text-based image segmentation, domain adaptation for geometry estimation, and personalization of generative models. His work at Amazon and NEON demonstrated practical gains from repurposing LDM internal features to boost segmentation accuracy, and he now applies those insights to scalable video synthesis at Adobe Firefly. Comfortable across Python, C++ and CUDA stacks, he pairs rigorous academic methods with systems thinking to move prototypes into production. Based in San Jose, he actively seeks industry collaborations to push GenAI-forward video applications and often brings cross-disciplinary ideas from remote sensing and audio-visual projects into his research.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Nanodegree, Deep Learning, Nanodegree, Deep Learning at UdacityDoctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Maryland
English, Hindi, Telugu
Stackoverflow
1reputation
852reached
0answers
1question
Github Skills (41)
depth-estimation10
depth10
computer-vision8
audio8
flux8
siggraph8
pytorch8
stylegan7
deep-learning7
hci6
neural-network6
image-generation6
unicode6
diffusion-models6
perl6
Programming languages (2)
Github contributions (5)
koutilya-pnvr/SharinGAN
Jun 2020 - May 2021
Contributions:27 commits, 46 pushes, 4 branches in 11 months
koutilya-pnvr/koutilya-pnvr.github.io
Jan 2020 - Jan 2024
Contributions:30 pushes, 1 branch in 4 years
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