Mingqing Li
Advisory Software Engineer at IBM
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolMingqing Li is an advisory software engineer based in San Jose with eight years of experience building cloud-native systems at IBM, currently focused on Cloud Pak for Data system application management. He brings strong backend and platform skills across Linux, OpenShift, Python, Java, and Go, honed through roles from Watson Visual Recognition internships to full-time development and advisory positions. Mingqing holds an M.S. in Computer Science from the University of Virginia and a bachelor’s in Computer Software Engineering, blending rigorous academic training with enterprise-grade engineering. Colleagues rely on him for pragmatic solutions that bridge orchestration, observability, and automation in hybrid cloud environments. Outside core responsibilities he has a history of research-adjacent work and industry internships, reflecting a consistent curiosity about applied AI and security in production systems.
8 years of coding experience
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Southeast UniversityMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Virginia
Stackoverflow
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Github Skills (24)
ternary10
genetic-algorithm9
materials-informatics9
python9
antcolony9
repo-management9
travelling-salesman-problem9
particle-swarm-optimization9
optimization8
science8
simulated-annealing8
differential-evolution8
matplotlib8
fireworks8
algorithm7
Programming languages (4)
Github contributions (5)
hitliaomq/ElasticPOST
Aug 2019 - Apr 2020
POST code for second order elastic constant
Contributions:1 release, 16 commits, 13 pushes in 7 months
hitliaomq/MaterialPOST
Nov 2017 - Apr 2020
Contributions:53 commits, 42 pushes, 1 branch in 2 years 5 months
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