Sijia Wang

Software Engineer at Meta

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Sijia Wang is a software engineer with eight years of experience building production-grade systems, currently contributing at Meta from the San Francisco Bay Area. She has a strong background in geospatial big data and monitoring—at Orbital Insight she designed and deployed a data monitoring platform that cut anomaly discovery time by 70% through PostgreSQL schema work, Grafana analytics, Docker/Kubernetes/Helm deployments and CI/CD automation. Her research experience includes leading a published project on in-pipe leak detection using embedded hardware and machine learning, achieving 90% detection accuracy and delivering real cost savings to industry. Trained at Zhejiang University and Carnegie Mellon, she blends deep systems engineering with applied ML and a practical focus on reliability and observability.
code8 years of coding experience
bookSummer Exchange Student, Summer Exchange Student at University of California, Berkeley
bookMaster of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
bookBachelor of Engineering - BE, Automation, Bachelor of Engineering - BE, Automation at Zhejiang University
languagesEnglish, Chinese

Programming languages (1)

CSS

Github contributions (5)

github-logo-circle
sjwangzju/leetcode

Apr 2018 - Dec 2019

Contributions:177 commits, 610 pushes, 1 branch in 1 year 8 months
sjwangzju/cs61b

Mar 2018 - Jun 2018

Contributions:8 pushes, 1 branch in 3 months
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Sijia Wang - Software Engineer at Meta