Fafa H
Business Development Manager at Baidu, Inc.
Hong Kong Island, Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolFafa H is a Business Development Manager with six years of cross-border experience in tech and digital publishing, currently driving partnerships at Baidu in Hong Kong. He blends commercial strategy with hands-on technical curiosity—maintaining active GitHub projects that integrate deep learning backbones for image classification and producing practical ML tutorials for Google Colab. Previously he scaled BD functions across startups and agencies, and has also worked as an affiliate-publisher, giving him both product and monetization insight. His open-source work shows a rare mix for a BD professional: familiarity with model configuration, training utilities, and modern architectures like Swin Transformer and MobileNetV3. Comfortable operating between sales, developer communities, and technical teams, he leverages that bilingual regional presence to connect mainland China and Hong Kong markets. Colleagues describe him as a pragmatic connector who learns by building rather than by titles alone.
6 years of coding experience
5 years of employment as a software developer
Guangdong Polytechnic of Science and Technology
Github Skills (11)
mask-rcnn10
google-colab10
pytorch10
jupyter-notebook10
faster-rcnn10
deep-learning10
python10
documentation10
image-classification10
machine-learning9
transformer9
Programming languages (3)
Github contributions (5)
Fafa-DL/Awesome-Backbones
Jan 2022 - Nov 2022
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:1 review, 97 commits, 4 PRs in 10 months
Contributions summary:Fafa primarily focused on integrating deep learning models for image classification within the project. Their work included creating and modifying configuration files for different backbones, such as CSPNet, MobileNetV3, and Swin Transformer. Additionally, they developed training and evaluation utilities and implemented models for image classification tasks. These changes suggest the user's involvement in model development and integration.
cnndeep-learningimage-classificationpytorchpytorch-classification
Fafa-DL/Lhy_Machine_Learning
Feb 2021 - Jul 2022
李宏毅2021/2022/2023春季机器学习课程课件及作业
Role in this project:Data Scientist
Data ScientistContributions:3 releases, 176 commits, 1 PR in 1 year 4 months
Contributions summary:Fafa uploaded a tutorial file, "Google\_Colab\_Tutorial.ipynb," which introduces Google Colab and demonstrates how to use it for machine learning. The tutorial covers basic operations like downloading files from Google Drive and utilizing the GPU, which are common steps in machine learning projects. The content suggests the user is either a student or an instructor, focusing on practical setup steps for the course, which makes them well suited for the Data Scientist role.
pythonmachine-learning
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