Le Xu
Research Associate
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLe Xu is a research-focused software engineer with five years of experience at the intersection of distributed systems and AI infrastructure, currently a Research Associate at the University of Edinburgh after building next-generation AI serving platforms at ByteDance. He holds a PhD in Computer Science from UIUC and has a strong research-to-production trajectory spanning postdoctoral work at UT Austin, industry internships at Microsoft and Alibaba Damo, and engineering stints at Yahoo and Salesforce. Le combines deep academic training with hands-on systems engineering—designing scalable, high-performance infrastructure for large-scale ML workloads. Based in Bellevue, Washington, he is comfortable bridging research, large-company product constraints, and production-grade system delivery, and has a history of moving ideas from lab prototypes into real-world deployments.
5 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Illinois Urbana-Champaign
English, Chinese
Stackoverflow
11reputation
1kreached
1answer
1question
Github Skills (45)
dedicated10
job-scheduler10
user-interface10
task-scheduler10
azkaban10
pipeline10
orchestration10
cloud-native10
hadoop9
apache9
spark9
data-pipelines9
big-data9
airflow9
data-pipeline9
Programming languages (4)
Github contributions (5)
XuXuClassMate/XuXuClassMate
Nov 2022 - Jan 2025
💡 I like to explore new testing technologies, including automated testing and test development 📖 I am currently learning big_data testing technology and using kubernetes 🎧 Like to listen to take a walk and Play badminton 🐈 Like Alaska dog 🧑🏻💻 Like to study new technologie
Contributions:2 PRs, 40 pushes, 1 branch in 2 years 3 months
xuxuclassmate
XuXuClassMate/dolphinscheduler
Jul 2022 - Sep 2023
Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available out of box.
Contributions:9 pushes in 1 year 2 months
dependenciesdagschedulerjobpipeline
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