Da-cheng Juan
Staff Software Engineer, Technical Lead Manager at National Tsing Hua University
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolDa-cheng Juan is a Staff Software Engineer and Technical Lead Manager at Google Research with nine years of industry experience driving graph learning, adversarial learning, and real-world ML applications. He concurrently serves as an adjunct faculty at National Tsing Hua University, designing and teaching machine learning and deep learning courses informed by production research. His career spans hands-on roles across personalization, recommendation, and semi-supervised deep learning at Google, backed by a Ph.D. from Carnegie Mellon in ECE and an M.S. in Machine Learning. Da-cheng blends research rigor with product impact—leading a team that translates cutting-edge graph and adversarial techniques into deployed systems. Outside work he shares practical Python tooling and analyses on GitHub and balances intense technical work with a passion for dancing, reflecting a creative approach to problem solving.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at National Tsing Hua UniversityMaster of Science (M.Sc.), Machine Learning, Master of Science (M.Sc.), Machine Learning at Carnegie Mellon University
Chinese, English
Github Skills (7)
file-handling10
text-manipulation10
strings10
python10
data-dictionary9
structures9
data-structures9
Programming languages (3)
Github contributions (5)
daacheng/PythonBasic
Jan 2018 - Sep 2021
平时工作中常用的Python零碎知识总结，爬虫学习总结与练习，Python数据分析学习总结，目前正在重新整理中......
Role in this project:
Back-end Developer
Back-end DeveloperContributions:678 commits, 709 pushes, 1 branch in 3 years 9 months
Contributions summary:Da-cheng primarily contributed to Python scripts focused on basic programming concepts, string manipulation, and file operations. They developed code for removing duplicate elements from lists, replacing strings in text, and performing number conversions. Furthermore, the user demonstrated skills in file handling by implementing code to count word occurrences from a text file and parsing data from a text file. These commits reveal a focus on practical Python programming tasks.
pythonpython3
daacheng/pythonForMachineLearning
Nov 2017 - Aug 2018
Contributions:125 commits, 108 pushes, 1 branch in 9 months
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