Jingwei Kang is a Senior Software Engineer with 7 years of experience building data infrastructure for cell manufacturing and chemical informatics, currently advancing production systems at Tesla in Shanghai. He combines a dual background in chemical engineering and computer science from UC Berkeley with hands-on roles across data engineering, process control, and cheminformatics, applying tools like RDKit and AWS to scale reaction and manufacturing datasets. Jingwei has a track record of turning domain complexity into automated ETL pipelines and visualization tools—from web-scraping 10k+ chemical records to deploying process-optimization dashboards—helping cross-functional teams make data-driven decisions. Curious and voracious in learning (要学的东西太多了), he bridges lab-scale scientific workflows and robust cloud-native data platforms to accelerate manufacturing insights.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Chemical Engineering, Bachelor of Science - BS Chemical Engineering at University of California, Berkeley
'Library'makes a whole set of functional class'Vue' component libraries based on the common functions of programmers, whether small to'A, Button'tags, large to automated'HeadBar' with'router'and dynamic effects, or templates for the entire page,'Library' has everything. I hope'Library'will bring some convenience to your work.
Contributions:41 commits, 33 pushes, 1 branch in 2 years 3 months
Contributions:112 commits, 104 pushes, 1 branch in 7 months
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