Summary
Qiaomu Shi is a security expert with 12 years’ experience building large-scale threat detection and cybercrime investigation systems, currently leading intelligence data and attack modeling work at Alibaba Cloud. He combines data science (anomaly detection, graph models, clustering) with big-data engineering (Hadoop, Spark, Hive, HBase) to surface attacker behaviors from chaotic logs and drive actionable threat intelligence. Previously at Baidu he developed a large security data platform and a WebRadar component-fingerprinting product while handling high-profile incident response and vulnerability triage. Comfortable in Python, Java and multi-database environments, he blends hands-on penetration testing and code-audit experience with production-grade detection engineering. Notably, his background in detection guidance and control technology underpins a systems-oriented approach to turning statistical models into operational security controls.
12 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Detection Guidance and Control Technology, Bachelor's degree, Detection Guidance and Control Technology at Central South University
Chinese