Shanto Roy is an AI Platform Security Engineer at Charles Schwab with eight years of experience securing and stabilizing large-scale infrastructure across hybrid environments. He blends SRE rigor—managing Red Hat and Windows fleets, on-call incident response, observability with Grafana/Splunk/AppDynamics, and automation in Python, Bash, Salt, and PowerShell—with deep academic expertise in cybersecurity from a PhD and MS at the University of Houston. His background includes research in privacy, cyber deception, and hands-on projects in security analytics and infrastructure monitoring that bridge theory and production. As a former lecturer and graduate instructor, he brings strong communication and documentation practices to cross-functional collaboration and runbook development. Based in Southlake, Texas, he has repeatedly led vulnerability assessments, DR planning, and capacity planning to improve resiliency for 70+ applications. Outside of core duties he contributes to security-focused data analytics work and creates technical content that demystifies complex ops and security topics.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer and Information Sciences (Cyber Security), Doctor of Philosophy - PhD Computer and Information Sciences (Cyber Security) at University of Houston
Master's degree Information Technology, Master's degree Information Technology at Institute of Information Technology, Jahangirnagar University
H.S.C. Science, H.S.C. Science at Notre Dame College
S.S.C Science, S.S.C Science at Panchagarh B.P. Govt. High School
Contributions:18 pushes, 1 branch in 3 years 11 months
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