Summary
Carmen Tang is a security engineer with 11 years of experience building detection, investigation, and automated remediation systems across large-scale platforms. Currently at Google, she focuses on network forensics, malware analysis, and tooling to detect and respond to malicious activity, building on prior work at Meta where she created data pipelines, classifiers, and graph-based APIs to surface and disrupt coordinated threat actors. Her background spans full-stack engineering—Python, SQL, PHP/Hack, Haskell, React, GraphQL—and she has led teams that enabled cross-organizational investigations and policy-informed enforcement in privacy-sensitive environments. Carmen pairs technical depth with civic-minded product leadership from nonprofit work on housing and workforce tools, and she has a track record mentoring students and interns while collaborating with legal and policy teams to protect vulnerable users. A detail that sets her apart is experience operationalizing security at scale in end-to-end encrypted contexts, requiring novel approaches to investigation and tooling.
10 years of coding experience
5 years of employment as a software developer
Computer Science, Minor in Public Policy, Computer Science, Minor in Public Policy at University of California, Berkeley
Computer Science, Data Mining, Security, & Android Applications, Computer Science, Data Mining, Security, & Android Applications at University College Dublin
English, Chinese