Xixuan Feng
Researcher And Software Engineer at Recruit Co.,Ltd.
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolXixuan Feng is a researcher and software engineer with 14 years of industry experience applying machine learning and statistical analytics to real-world data, currently advancing AI solutions at Recruit Co., Ltd. He helped bring parallel in-database machine learning to production as the first PMC Chair of Apache MADlib and previously worked on MADlib development at Pivotal. His background blends strong academic training—MS from University of Wisconsin–Madison and CS degrees from Peking University and top programs like Stanford NLP—with hands-on research internships at Microsoft Research Asia and HP Labs. Known for working at the intersection of databases and ML, he focuses on scalable, production-ready analytics rather than experimental prototypes. Based in Chiyoda, Japan, he combines deep technical rigor (high academic scores and a completed Deep Learning Specialization) with a long-standing commitment to making AI practical for large-scale data systems.
14 years of coding experience
9 years of employment as a software developer
Deep Learning Specialization, Deep Learning, 100%, Deep Learning Specialization, Deep Learning, 100% at CourseraMaster of Science (MS), Computer Science, 3.9/4.0, Master of Science (MS), Computer Science, 3.9/4.0 at University of Wisconsin-MadisonBachelor of Science (B.S.), Computer Science, 3.7/4.0, Bachelor of Science (B.S.), Computer Science, 3.7/4.0 at Peking UniversityHigh School Diploma, High School Diploma at Shenzhen Middle SchoolHong Kong University of Science and Technology (HKUST)Summer Session, Natural Language Processing, 4.3/4.3, Summer Session, Natural Language Processing, 4.3/4.3 at Stanford University
Spanish, Chinese, Chinese, English, Japanese
Github Skills (13)
madlib8
java8
apache6
analytics2
database2
postgresql2
sql2
data-management2
scalable2
metadata2
metadata-management2
search-engine2
databases1
Programming languages (4)
Github contributions (5)
haying/madlib
Oct 2012 - Sep 2015
Contributions:11 commits, 1 branch in 2 years 10 months
scalableanalyticssqlanalytics-databasein-database-analytics
rit-git/pyltr
Dec 2019 - Dec 2019
Python learning to rank (LTR) toolkit
Contributions:2 pushes in 1 day
nlppythonmachine-learninglearning-to-ranklearning-python
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