Summary
Xiheng Zhang is a Privacy Engineer in the San Francisco Bay Area with over a decade of software development experience and eight years focused on AI/ML infrastructure and privacy. He’s a full-stack engineer who has built end-to-end developer experiences, reliability tooling, and privacy-aware systems at scale across Meta and Snap, often leading cross-functional efforts to automate compliance detection and remediation. His work spans backend systems, distributed tracing, data visualization, and metadata governance, with a practical bent for turning complex privacy requirements into auditable, production-ready solutions. Comfortable both shipping product-facing features and hard infrastructure, he combines academic training in computer science with a track record of operationalizing AI workflows and streamlining error attribution. An engineer who prefers elegant, pragmatic solutions, he brings deep domain experience in AI privacy that few full-stack practitioners possess.
8 years of coding experience
12 years of employment as a software developer
Bachelor's, Software Engineering, Bachelor's, Software Engineering at Southeast University
Master, Computer Science, Master, Computer Science at Texas A&M University