Hao Gao
MLOps Engineer at NZ Transport Agency Waka Kotahi
Auckland, Auckland, New Zealand
Summary
👤
Senior🎓
Top SchoolHao Gao is an MLOps engineer in Auckland with a decade of experience building data and AI solutions across AWS and Azure, blending hands-on machine learning with robust data engineering. He has designed end-to-end ETL and CI/CD pipelines for government and financial sectors, led ML infrastructure and fairness monitoring projects at Deloitte, and operationalized LLM-based extraction workflows. Skilled with Hadoop, Spark, PyTorch, TensorFlow and cloud-native services, he holds multiple AWS and Azure certifications and a background that spans research, real-time embedded vision, and production-scale data platforms. Unusually, his career bridges early-stage deep learning on ARM devices and patent-pending fruit-tracking algorithms to large enterprise MLops, reflecting an ability to move innovations from prototype to regulated production.
9 years of coding experience
11 years of employment as a software developer
Postgraduate Diploma Computer and Information Science, Postgraduate Diploma Computer and Information Science at Auckland University of TechnologyMaster's degree Computer Engineering, Master's degree Computer Engineering at Beihang UniversityBachelor of Physics Physics, Bachelor of Physics Physics at Zhengzhou University
Github Skills (51)
pytorch10
machine-learning10
multibox10
datasets10
deep-learning10
torchvision10
object-detection10
computer-vision10
ios9
cross-platform9
webcam9
hardware9
desktop9
onnx9
image-recognition9
Programming languages (6)
Github contributions (5)
qfgaohao/pytorch-ssd
May 2018 - Aug 2022
Contributions:153 commits, 9 PRs, 105 pushes in 4 years 3 months
pytorchopen-imagescaffe2mobilenetv1box
qfgaohao/pytorch-facial-recognition
Dec 2018 - Jan 2019
Contributions:11 commits, 7 pushes, 1 branch in 1 month
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