Ming Li
Tool Installation Project Manager - Schedule Optimization
Chandler, Arizona, United States
Summary
👤
Senior🎓
Top SchoolMing Li is a seasoned operations and project leader with 11+ years of experience optimizing tool installation schedules and production workflows in semiconductor manufacturing. Currently leading schedule optimization for Intel’s newest high-volume fab in Arizona, he coordinates cross-functional teams from finance to factory operations to keep multi-year construction timelines on track and under budget. His background spans hands-on production leadership—managing a 24x7 plant and ~500 staff at Footprint—to technical engineering roles at Intel, giving him rare depth across strategy, supply chain, and factory execution. Trained as a Ph.D. scientist, Ming combines rigorous analytical thinking with pragmatic program management, enabling scalable, precise solutions in complex, capital-intensive projects. He’s known for aligning competing priorities, resolving constraints early, and maintaining consistent workloads through long multi-stakeholder programs.
11 years of coding experience
13 years of employment as a software developer
B.S., Biology, B.S., Biology at Peking UniversityUniversity of Minnesota Twin Cities
Github Skills (4)
deep-learning8
tensorflow7
nidaqmx7
operating-system5
Programming languages (1)
Github contributions (5)
vslm698/MTCNN-Tensorflow
Jan 2018 - Jan 2018
Contributions:1 push in 1 day
deep-learningreproducetensorflowmtcnn
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