Junjie Li
Guangzhou City, Guangdong Province, China
Summary
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SeniorJunjie Li is a senior engineer with 11 years of experience bridging academic materials research and high-volume wafer manufacturing, now developing and deploying PVD and dry-etch tools at Seagate. He holds a PhD in Materials Science from UC San Diego, where he led interdisciplinary projects on vanadium oxides and superconducting thin films, authored multiple SCI papers, and designed custom instrumentation for neuromorphic computing studies. Junjie combines deep hands-on expertise in thin-film growth and nanofabrication with broad characterization skills (XRD, TEM, XPS, PPMS, cryogenic probing) and practical process ownership on 8-inch toolsets (PECVD, sputtering, e-beam, ICP/IBE). Fluent in DOE/Six-Sigma, statistical analysis (JMP, Python, MATLAB) and multiphysics simulation (COMSOL), he excels at turning fundamental materials insight into robust manufacturing processes. Colleagues know him as a detail-oriented experimentalist who also models and automates processes end-to-end, pairing research rigor with production-minded problem solving.
11 years of coding experience
Github Skills (12)
regression9
scientific-computing7
nearest-neighbor-search7
machine-learning7
deep-learning6
cpp6
mlpack6
ns32
simulation1
scalable1
simulator1
testing1
Programming languages (2)
Github contributions (5)
goalslee/v-net
May 2016 - Apr 2017
Contributions:503 commits, 451 pushes, 1 branch in 11 months
goalslee/algorithm-coding
Apr 2016 - Mar 2019
Contributions:38 pushes, 1 branch in 2 years 11 months
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