Iat Chan
Generative AI Product Manager & Software Engineer, Global Business Unit
Hayward, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIat Chan is a seasoned software engineer and Generative AI product manager with 11 years of experience building consumer AI and mobile products, currently leading Baidu USA’s US Product Team to design generative-AI driven social apps for millions of users. He blends hands-on engineering roots—from Android frameworks at Amazon Lab126 and mobile apps at TripAdvisor and E*TRADE—to product leadership focused on Gen Z insights, growth, and social engagement. Iat contributes to notable open-source projects in the PaddlePaddle ecosystem, implementing a recommender training pipeline and improving VisualDL’s frontend UX for better model visualization. Comfortable across front-end, back-end, and ML training workflows, he pairs deep technical fluency with product instincts that prioritize delight and retention. Based in Hayward, CA, he has a track record of shipping large-scale consumer features and translating complex AI capabilities into simple, playful user experiences. An early side project creator (Macau Food) and longtime Android specialist, he often surfaces overlooked UX fixes that materially improve engagement.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of California, Davis
Chinese, English, Chinese, Chinese
Stackoverflow
43reputation
3kreached
0answers
3questions
Github Skills (20)
javascript10
visualization10
python10
machine-learning10
ui-design10
echarts10
deep-learning10
trainings10
front-end-development10
vue10
paddlepaddle10
visualizations10
modeling10
vue-jsx10
ux-design9
Programming languages (7)
Github contributions (5)
PaddlePaddle/book
May 2018 - Jul 2018
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 commits, 18 PRs, 8 pushes in 1 month
Contributions summary:Iat implemented a training program for a recommender system. This involved defining the model architecture using PaddlePaddle layers, including embedding layers, fully connected layers, and cosine similarity calculation. The user also set up the training process, including defining the loss function, optimizer, and event handlers for testing and saving the model. The commit demonstrates a solid understanding of deep learning frameworks and model training procedures.
deep-learningpytorchpaddlepaddletensorflow
PaddlePaddle/VisualDL
Feb 2018 - Sep 2018
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Role in this project:Front-end Developer
Front-end DeveloperContributions:39 commits, 89 PRs, 42 pushes in 7 months
Contributions summary:Iat primarily focused on enhancing the user interface (UI) and user experience (UX) of the `visualdl` tool, specifically for the scalar and histogram charts. Their contributions included redesigning chart toolbar icons, implementing features like pinch-to-zoom, and improving the download functionality for chart data. Furthermore, the user made UI adjustments and code improvements to existing components in the frontend. These changes involved modifications to the display, layout, and overall functionality of UI elements.
pytorchdeep-learningpaddlepaddlecomputer-visiononnx
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