Summary
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.
8 years of coding experience
Summer Exchange Student, Summer Exchange Student at University of California, Berkeley
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
Bachelor of Engineering - BE, Automation, Bachelor of Engineering - BE, Automation at Zhejiang University
English, Chinese