Worked on large-scale infrastructure platforms across Edge, Network, Finance, and AI, building multiple 0→1 and evolution-stage systems used by global teams. Focused on platform architecture, automation, and AI-driven efficiency for overseas infrastructure operations.

Build Landing Lens AI Platform supporting data ingestion, labeling, exporting, training and model inference;

Build Onprem solution for Landing Lens AI Platform, supports onprem deployment;

10703 Deep Reinforcement Learning and Control (grade: A)

10701 Introduction to Machine Learning(PhD) (grade: A)

15688 Practical Data Science (grade: A)

18797 Machine Learning and Signal Processing (grade: A)

Present course:

15688 Distributed System

11785 Deep Learning

16720 Computer Vision

Keyword: Spark, Scala, C++, Machine Learning, Recommendation System

Used Spark to deal with and manage huge data in SQL and build a Xgboost model for Click Through Rate Prediction model

Built a Coarse Ranked Recall Model to ranked the articles and recall the top thousands articles to Fine Ranked Recall Model

Released the recommendation system online and serve for the recommendation of the pictures and articles in QQ

15619 Cloud Computing

18600 Introduction to Computer System