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I am an Applied Scientist at Amazon Web Services (AWS) where I work on innovating automated technologies to proactively detect and mitigate security issues across AWS services and applications.

I completed my Ph.D. from the University of California Los Angeles (UCLA) in 2024, where I was advised by Prof. Yuan Tian, and also mentored by Prof. Yu Feng from UC Santa Barbara. I finished my M.S in Computer Science from the University of Virginia and B.S in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET).

I am broadly interested in software and systems security. My research focuses on building automated and scalable techniques, employing formal methods, static analysis, reverse engineering, program repair/synthesis, and machine learning to guarantee the underlying systems adhere to their security specifications. My research methods have been used to identify high-severity security bugs in popular software products, including Google's authentication, and discover 60+ security bugs/zero-days leading to 8+ new CVEs.

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