Kushagra Pandey

Graduate Student Researcher

Irvine, California, United States
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Summary

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Senior
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Top School
Kushagra Pandey is a PhD computer scientist and graduate student researcher at UC Irvine with nine years of experience building and researching generative AI systems that emphasize robustness, controllability, and real-world grounding. He combines academic rigor—from a PhD at UCI and an MTech from IIT Kanpur—with industry research internships at NVIDIA and hands-on ML engineering at Lexent Bio, applying Bayesian deep learning and deep generative models to practical problems. His background in electrical engineering and early work on vibrotactile interfaces for assistive tech reveal a knack for bridging hardware, human-centered design, and probabilistic modeling. Comfortable moving between prototype systems and publication-grade research, he brings a pragmatic focus on controllable generation and domain grounding that accelerates real-world AI deployment.
code9 years of coding experience
job2 years of employment as a software developer
bookIndian Institute of Technology Kanpur
bookB.Tech, Electrical, Electronics and Communications Engineering, B.Tech, Electrical, Electronics and Communications Engineering at IIT Bhubaneswar
bookUniversity of California, Irvine
languagesEnglish, Hindi
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Stackoverflow

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Github Skills (19)

image-synthesis10
diffusion-models10
inpainting10
generative-model10
deep-learning8
image-generation8
metric-learning8
graph7
unsupervised-learning7
jekyll-theme5
jekyll5
inference5
responsive4
laravel4
clustering3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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kpandey008/dcgan

Jul 2018 - May 2019

Contributions:24 commits, 16 pushes, 1 branch in 10 months
Zafar-Lab/Margaret

Nov 2020 - Dec 2021

Metric learning-based graph-partitioned trajectory inference from single-cell data
Contributions:295 commits, 2 PRs, 7 pushes in 1 year 1 month
trajectory-inferencegraph-basedgraph-based-learningdeep-learninginference
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