Li Lin
產品經理 at 沃亨科技
Beijing, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolLi Lin is a product manager and senior design leader with 11 years bridging interaction design, brand strategy, and technical production across major tech firms like Alibaba and ASUS. With a Master’s background in Game & Interactive Media Design and HCI, Li blends systems thinking with hands-on skills in audio/video production and program development to deliver cohesive UI/UX, O2O, and marketing experiences. He has led cross-functional teams on high-impact launches and brand initiatives, from ROG gaming campaigns to Taobao/Tmall redesigns, and remains active in technical learning—contributing machine learning and Python notebooks on GitHub that reflect a strong theoretical interest in models and data handling. Based in Beijing but originally from Taiwan, Li is known for turning creative concepts into implementable product systems and for applying artistic sensibility within corporate, deadline-driven environments.
10 years of coding experience
3 years of employment as a software developer
Master of design, Game and Interactive Media Design, Master of design, Game and Interactive Media Design at National Taipei University of Technology
Github Skills (14)
statistics10
jupyter-notebook10
machine-learning10
probability-theory10
python10
mnist10
theano10
numpy10
data-analysis10
multiple-selection9
feature-selection9
variable-selection9
scipy9
anaconda7
Programming languages (3)
Github contributions (5)
lijin-THU/notes-machine-learning
Mar 2016 - Mar 2017
鉴于我没有时间继续写这个东西，这个项目暂时废止
Role in this project:
Data Scientist
Data ScientistContributions:37 commits, 34 pushes, 1 branch in 1 year
Contributions summary:Li updated and expanded the content of the ReadMe file, adding a table of contents and descriptions for chapters. They then added several new notebooks to the project, covering topics like model selection, probability theory, and Gaussian distributions, indicating a focus on the theoretical foundations of machine learning and statistical modeling. Further changes included the addition of a notebook detailing principal component analysis.
spring-bootredismysqlspringbootjava
lijin-THU/notes-python
Oct 2015 - May 2020
中文 Python 笔记
Role in this project:Data Scientist
Data ScientistContributions:83 commits, 3 PRs, 84 pushes in 4 years 8 months
Contributions summary:Li's commits focus on implementing machine learning models using the MNIST dataset. The code changes include loading the MNIST dataset, creating functions for one-hot encoding, and demonstrating the use of a softmax function on the dataset. The user also included code to download and prepare the MNIST data and explore other Theano functionalities, suggesting an emphasis on model development and data handling within the context of a machine learning project.
pythonnumpytheanoanacondascipy
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