Haoxiang Wang
United States
Summary
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RockstarHaoxiang Wang is a research scientist in the San Francisco Bay Area with nine years of experience at the intersection of generative AI, computer vision, and applied machine learning. Currently building video generation systems at Luma AI after a research stint at NVIDIA’s Generative AI Cosmos team, he brings hands-on expertise translating foundation models into creative, spatially-aware applications. His background includes research internships at Apple, AWS, and Waymo, with published work on merging vision foundation models (SAM-CLIP) and using conditional generative models for quantum-system prediction. A PhD candidate in Electrical & Computer Engineering from UIUC with undergraduate training in physics, statistics, and CS, he blends rigorous theory with production-oriented research. Notably, he maintains an academic profile and personal website that track his evolving contributions to both open research and industrial AI products.
9 years of coding experience
Github Skills (79)
zero-shot-classification10
fine-tuning10
gpt10
visual-question-answering10
llama10
amd10
cuda10
pytorch10
inference10
llm10
openai10
optimizer9
transformer9
computer-vision9
hub9
Programming languages (4)
Github contributions (5)
uiuctml/ISR
Jan 2022 - Sep 2022
Invariant-feature Subspace Recovery (ISR)
Contributions:6 commits, 8 pushes, 1 branch in 7 months
domain-adaptation
AI-secure/Meta-Neural-Kernel
Jun 2020 - Nov 2020
Contributions:8 commits, 7 pushes, 1 branch in 4 months
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