Anand Mudgerikar is an Applied Machine Learning Engineer with a decade of experience specializing in ML-driven security research and productization, currently contributing to Microsoft's Security Co‑Pilot, Sentinel, and Defender. He combines deep academic roots—PhD and MS work at Purdue focused on IoT, SDN, and ransomware defenses—with hands-on engineering that has produced constrained RL frameworks, GAN-based domain adaptation, and whitelist/anomaly detection systems published at ICDCS and IEEE IoT Journal. Anand has turned research into practical systems and patents (Purdue and HPE), built edge and honey pot prototypes for IoT, and helped harden enterprise SSO and authentication architectures during internships. Based in Redmond, he blends full‑stack development with security R&D, often bridging novel ML methods and deployable defenses in real products—a profile that reflects both experimental rigor and production impact.
10 years of coding experience
7 years of employment as a software developer
Master's Degree, CERIAS, Information Security, Master's Degree, CERIAS, Information Security at Purdue University
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Dhirubhai Ambani Institute of Information and Communication Technology
High School, High School at Delhi Public School , Ahmedabad
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Anand Mudgerikar - Applied Machine Learning Engineer at Microsoft