Build data intelligent and Ai systems since 2012.
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I build recommendation systems, search systems, logistics routing&dispatch systems and agentic control systems for eCommerce and logistic companies.
Renmin University of China
Master, Computer Science
January 1, 2007 – January 1, 2010
Renmin University of China
Bachelor's degree, Computer Science
January 1, 2003 – January 1, 2007
美团
Decision Intelligence
September 1, 2021 – Present
中国 北京市 · On-site
Alibaba Group
Senior Software Engineering Manager
September 1, 2018 – August 1, 2021
Beijing City, China
GrowingIO
Director of Machine Learning
March 1, 2018 – August 1, 2018
Beijing City, China
转转
Head of Search and Recommendation Department
July 1, 2016 – March 1, 2018
Beijing City, China
Beijing Dangdang Information Technology Co., Ltd.
Engineering Manager
June 1, 2012 – July 1, 2016
Beijing
National Bureau of Statistics
Computer Engineer
July 1, 2010 – June 1, 2012
Bayannor, Inner Mongolia
Customer Group Classification
March 1, 2016 – Present
Classify users into groups like young parents, college students, high school students, software engineer. This work could be used to design specified strategies for different group of customers
Recommendation Data Platform Architecture Refactor
February 1, 2015 – November 1, 2015
Designed and implemented a new architecture with the following features: Unified and simplified data pipeline Centralized configuration management Native support of A/B Testing Structured recording of data lineage Job speedup with Spark Some major performance improvement: Lines of code reduced: 40%+ Average running time reduced: 90%+ Number of jobs eliminated: 50%+
Machine Learning Based Advertisement Ranking System
June 1, 2014 – November 1, 2014
Established a ad ranking system using machine learning based CTR prediction. CTR improved by 30%+ RPM improved by 20%+ Tools and techniques involved: Python R Logistic Regression Liblinear Latent Dirichlet Analysis Apache Hadoop Apache Spark GBDT xgboost
Machine Learning Based Recommendation Ranking System
July 1, 2013 – November 1, 2013
Established a recommendation system using machine learning based CTR prediction. CTR improved by 20% Tools and techniques involved: Python R Logistic Regression Liblinear Latent Dirichlet Analysis Apache Hadoop
DeepLearning.AI Tensorflow Developer
Coursera
June 24, 2026 – Present
Computing for Data Analysis
Coursera
June 24, 2026 – Present
Natural Language Processing
Coursera
June 24, 2026 – Present
Quantitative Model Checking
EIT Digital
June 24, 2026 – Present
Coding the Matrix: Linear Algebra through Computer Science Applications
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background across various prominent technology companies in China (Meituan, Alibaba Group, GrowingIO, Zhuanzhuan, Dangdang), indicating adaptability to different corporate cultures and business domains. The project experience spans recommendation systems, classification, and advertisement ranking, showing a broad application of data science and engineering principles. The recent work with LLMs and multi-agent systems at Meituan suggests a proactive approach to learning and adopting new technologies, which aligns with a dynamic and innovative culture. The academic background and certifications further support a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's experience in leading teams and departments (Senior Software Engineering Manager, Director of Machine Learning, Head of Search and Recommendation Department, Engineering Manager) suggests strong leadership, project management, and potentially good communication skills. The descriptions of project outcomes (e.g., CTR improvement, RPM improvement, code reduction) indicate a results-oriented approach. However, without specific soft skill assessments or interview data, a definitive operational fit assessment is limited.