Summary
Ke Tian is a software engineer and applied machine learning specialist with 11 years of experience building production ML systems for security, recommendation, and advertising at companies including Microsoft, Palo Alto Networks, Pinterest, and Meta. He combines deep expertise in LLMs, anomaly detection, and MLOps with hands-on coding in Python, Java, and C#, having led scalable ML platforms on Kubernetes, Redshift/Athena, and KubeFlow. His work spans research and product: multiple top-tier publications and industry patents reflect a habit of turning advanced research (e.g., IoT compromise and UEBA detection) into deployable solutions. Based in Mountain View, he’s equally comfortable reverse-engineering sophisticated attacks and refining recommendation models, and brings strong communication skills for cross-functional delivery. Notably, his background bridges academic rigor (PhD-level research) with practical security tooling used at cloud-scale.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer and Information Systems Security/Information Assurance, Bachelor of Science (BS) Computer and Information Systems Security/Information Assurance at University of Science and Technology of China
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Virginia Tech