Viveka Kulharia
Member Of Technical Staff at Moonvalley
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolViveka Kulharia is a computer vision researcher and engineer with 11 years of experience and 8+ years focused on generative AI, currently tackling Video GenAI as a Member of Technical Staff in the Greater Seattle area. She has driven integration of diffusion models and GANs into perception stacks at Cruise, improving edge-case recall by over 30% through synthetic/real-to-real data pipelines, and has applied similar rigor to image search and weakly supervised segmentation projects at Huawei and Amazon Lab126. Her career blends deep research—PhD-level work from the University of Oxford and internships with top labs like Niantic and Microsoft—with hands-on production deployments and cross-team technical leadership. Notably, she repeatedly builds fast evaluation tooling and end-to-end data workflows that turn generative research into robust perception components for real-world systems.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision Machine Learning, Doctor of Philosophy - PhD Computer Vision Machine Learning at University of OxfordIndian Institute of Technology Kanpur
Github Skills (35)
r10
java10
spark9
python9
scala9
jdbc9
machine-learning9
sql9
deep-learning8
calibration8
big-data8
caffe8
apache-spark8
mnist6
diffusion-models6
Programming languages (9)
Github contributions (5)
vivkul/vivkul.github.io
Dec 2015 - Feb 2026
Contributions:170 pushes, 1 branch in 10 years 3 months
torrvision/focal_calibration
Oct 2020 - Sep 2021
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
Contributions:19 commits, 4 PRs, 14 pushes in 10 months
deep-neural-networks
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