Yanghao Liao
Project Development Manager at Sichuan Road & Bridge Co., Ltd.
Chengdu, Sichuan, China
Summary
🤩
Rockstar🎓
Top SchoolYanghao Liao is a Project Development Manager with 11 years of experience, currently leading clean energy EPC initiatives at Shudao Clean Energy Group across Northwestern China, Central Asia, and South America. He combines strategic investment decision-making with hands-on operational coordination to expand projects in photovoltaics, wind, and emerging hydropower ventures. Prior roles span digital content growth and brand marketing—where he helped a TikTok account reach millions of views and rapidly grew followers—bringing a data-driven approach to stakeholder engagement and community building. Yanghao also contributes to prominent open-source ML projects such as MXNet and Detectron2, with engineering work on output layers, multi-task metrics, ViT backbones and model optimizations that reveal a strong technical fluency beyond his managerial remit. He holds an MBA from Cornell Johnson and a bachelor’s in international economics and trade, blending technical collaboration, marketing savvy, and cross-border project experience. Known for translating complex technical contributions into operational impact, he seeks meaningful industry collaborations to scale sustainable energy solutions.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Business Administration and Management, General, Master's degree, Business Administration and Management, General at Cornell Johnson Graduate School of ManagementBachelor's degree, International ecnomics and trade, Bachelor's degree, International ecnomics and trade at Beijing International Studies University
English
Github Skills (15)
object-detection10
model-building10
mxnet10
pytorch10
machine-learning10
image-segmentation10
computer-vision10
deep-learning10
segmentation10
python10
cprogramming-language9
c-language9
net9
linear-regression8
softmax8
Programming languages (4)
Github contributions (5)
facebookresearch/pytorchvideo
Apr 2021 - Feb 2022
A deep learning library for video understanding research.
Role in this project:
ML Engineer
ML EngineerContributions:16 commits, 20 comments, 13 issues in 10 months
Contributions summary:Yanghao primarily contributed to the PyTorchVideo library by implementing and integrating new models, specifically within the model zoo. Their contributions included adding support for the SlowFast and X3D model architectures, including pre-trained weights. They also addressed code issues, such as correcting kernel sizes and fixing video duration issues.
deep-learningvideo-understanding
facebookresearch/detectron2
Oct 2019 - Jul 2022
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Role in this project:ML Engineer
ML EngineerContributions:2 reviews, 14 commits, 1 PR in 2 years 9 months
Contributions summary:Yanghao primarily contributed to the core object detection and segmentation platform, Detectron2. Their work included refactoring the registry system to fvcore, updating paths for VOC dataset, and adding a LayerNorm variant. Furthermore, the user implemented a ViT backbone for ViTDet and provided the support for square padding in the backbone, demonstrating contributions to model architecture and data processing within the repository. The user also introduced layerdecay options for the optimizer.
detectronobject-detectionsegmentationvisual-recognition
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