Ziwenhan Song
推荐算法专家 at 字节跳动
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolZiwenhan Song is a recommendation algorithms specialist with 11 years of experience, currently optimizing feed recommendation for Douyin at ByteDance. He has deep NLP and video understanding expertise from prior roles at ByteDance and Chengdu Xiaoduo, focusing on multi-turn dialogue, intent recognition and QA systems that bridge research and product needs. Trained in distributed computing and AI with dual master's degrees from University of Melbourne and ANU, he combines rigorous academic foundations with hands-on production experience. Ziwenhan is known for thinking from the user’s perspective and turning product insights into algorithmic solutions that directly improve engagement. Based in Haidian, Beijing, he brings cross-domain fluency across recommendation, dialogue systems and video understanding. His GitHub handle “dreamAdream” hints at a creative, persistent approach to engineering and experimentation.
11 years of coding experience
Australian National UniversityBachelor of Engineering, Software Engineering, Bachelor of Engineering, Software Engineering at Sun Yat-Sen UniversityThe University of Melbourne
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
nlp4
ajax4
keras4
natural-language-processing4
deep-learning3
javascript3
python3
transformers3
bert3
lxml3
tensorflow3
Programming languages (1)
Github contributions (5)
ziwenhan/ziwenhan.github.io
Jun 2016 - Aug 2018
Contributions:49 pushes, 1 branch in 2 years 2 months
ziwenhan/Xiaoshujiang_data_storage
Dec 2018 - Dec 2018
Contributions:49 pushes, 1 branch in 23 days
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