Zihao Zhang
Member Of Technical Staff at OpenAI
California, United States
Summary
🤩
Rockstar🎓
Top SchoolZihao Zhang is a Member of Technical Staff and former founder/CTO with 13 years of experience building machine learning and cloud-native systems from prototype to production. He co-founded Zeet to democratize developer infrastructure and later co-founded LogLM, bringing startup leadership to roles at Twitch and OpenAI. His hands-on background spans real-time object detection (notably implementing YOLOv3 in TensorFlow 2.0), autonomous vehicle stacks, and large-scale data pipelines at companies like Bebo, Embark, and Google. Comfortable across ML model design, training pipelines, backend infrastructure, and full-stack engineering, he bridges research-quality models with engineer-friendly deployment. Based in California and trained at the University of Waterloo, he combines entrepreneurial grit with deep implementation experience to help small teams punch above their weight. An intriguing personal touch: his GitHub handle “Mahoutsukai” hints at a long-standing fascination with wizardry—applying that metaphor to crafting developer superpowers.
13 years of coding experience
8 years of employment as a software developer
High School, High School at Vincent Massey Secondary SchoolBachelor's Degree Computer Science, Bachelor's Degree Computer Science at University of Waterloo
English, Chinese, Japanese
Github Skills (6)
neural-network10
object-detection10
machine-learning10
tensorflow10
python10
deep-learning9
Programming languages (16)
Github contributions (5)
zzh8829/yolov3-tf2
Apr 2019 - Nov 2020
YoloV3 Implemented in Tensorflow 2.0
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 73 commits, 40 PRs in 1 year 7 months
Contributions summary:Zihao primarily worked on implementing and refining a YOLOv3 object detection model using TensorFlow 2.0. Their contributions involved defining the model architecture, including the Darknet layers, YOLO output heads, and loss functions. The user also integrated the model with a training pipeline, demonstrating a focus on making the model functional and trainable.
deep-learningtensorflow-2-0object-detectionmachine-learningneural-network
zzh8829/dotfiles
Jul 2015 - Jul 2019
Contributions:65 pushes in 4 years
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