Wei Zhang
Advertising Algorithm at TikTok
Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolWei Zhang is an advertising algorithm engineer with 7 years of machine learning experience focused on e-commerce advertising and search, currently shaping real-time bidding and revenue optimization at TikTok in Singapore. He has a strong research and engineering background from Tsinghua and HKU, and has driven ads ranking, forecasting and recommendation systems at eBay and prior roles in forecasting for logistics and commodities. Beyond production ML, he leads open-source efforts (founder of MaiweiAI Lab, UFund-Me and DeepVTuber) and contributed core trading logic and backtesting to the AI-powered Qbot quant platform. His work blends time-series forecasting, ensemble and attention-based models with scalable ETL and back-end implementations, reflecting both applied research and hands-on product delivery. Notably, he builds interactive computer-vision learning notebooks and infrastructure that bridge education, research and deployable ML systems.
6 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at 清华大学Bachelor's degree, Bachelor's degree at Tsinghua UniversityMaster’s Degree, Electrical and Electronic Engineering, Master’s Degree, Electrical and Electronic Engineering at HongKong University
Stackoverflow
340reputation
154kreached
2answers
0questions
Github Skills (22)
pytorch10
python10
financial-data10
quantitative-trading10
finance10
machine-learning10
backtesting10
backtest10
deep-learning10
data-processing10
jupyter-notebook10
pandas9
transformers9
n9
rnn-model9
Programming languages (13)
Github contributions (5)
UFund-Me/Qbot
Nov 2022 - Feb 2023
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 41 commits, 5 PRs in 2 months
Contributions summary:Wei's commits primarily involve the implementation of core functionalities within the `qbot` project. They added a statutory holiday processing script, indicating a focus on incorporating external data and integrating it into the project's operations. Further, the user added backtesting functionality, including a Bollinger Band strategy, likely for evaluating trading algorithms. These changes suggest a focus on building out the core trading logic and data processing capabilities of the AI-powered quantitative investment platform.
bitcoinblockchaindeep-learningfintechfunds
Charmve/computer-vision-in-action
Apr 2021 - Nov 2022
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Role in this project:ML Engineer
ML EngineerContributions:512 commits, 560 pushes, 1 branch in 1 year 6 months
Contributions summary:Wei primarily contributed to the project by creating and modifying Jupyter Notebooks, focused on implementing and explaining various deep learning concepts. These contributions include notebooks dedicated to Transformers, Attention mechanisms, Mask R-CNN instance segmentation, and Long Short-Term Memory (LSTM) networks. Furthermore, the user demonstrated knowledge of machine learning libraries such as PyTorch.
pytorchipynbvisiondeep-learningjupyter-notebook
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