Haoye Zhang
Software Engineer at Waymo
United States
Summary
🤩
Rockstar🎓
Top SchoolHaoye Zhang is a software engineer with five years of experience specializing in computer vision and deep learning, currently contributing to Waymo’s engineering efforts. A top-performing student from Stanford and HKUST with a strong research background, he has hands-on experience reproducing and improving state-of-the-art 3D human pose estimation methods during a research internship at SenseTime. He combines rigorous academic training with practical system-building skills—designing DenseNet-based image feature pipelines, multi-stage fusion with 2D poses, and PCA-based reconstruction approaches—implemented in multi-GPU, cluster-deployed frameworks. Comfortable moving ideas from paper to production, he focuses on resolving 2D-to-3D ambiguity and delivering scalable model training systems. Based in the United States, he is preparing to continue deep technical investigation in graduate study while applying research-grade solutions in industry.
5 years of coding experience
Hong Kong University of Science and Technology (HKUST)Master's degree, Computer Science, Master's degree, Computer Science at Stanford University
English
Github Skills (17)
python8
spark8
machine-learning7
multimodal7
deep-learning7
chatbot6
tensorflow6
big-data6
data-science6
evaluation3
object-detection2
vision-and-language2
llama1
chatgpt1
foundation-models1
Programming languages (2)
Github contributions (5)
Haoye17/Haoye17.github.io
Jun 2022 - Jan 2025
Contributions:4 pushes in 2 years 7 months
RLHF-V/RLHF-V
Nov 2023 - Sep 2024
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
Contributions:33 pushes, 1 branch, 15 comments in 9 months
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