About
I am a computer scientist and systems security researcher. My work explores how complex software systems behave, why they break, and how we can make modern execution runtimes resilient against attack. Currently, I conduct doctoral research at Binghamton University, advised by Prof. Aravind Prakash.
My research focuses on systems security, binary analysis, and software debloating. I investigate how unexecuted and dead code in compiled binaries introduces unnecessary attack surfaces into modern software environments like WebAssembly and RISC-V systems.
My DIMVA 2026 work analyzed static reachability in 8,461 WebAssembly binaries and measured dynamic coverage separately on controlled workloads, finding 70–85% of functions unexecuted in those workloads. I also study the validity of evidence from forced execution. I built a compiler-guided prototype that repairs a deciding operand and rechecks the selected branch condition, addressing contradictory state left by redirect-only execution. Its associated manuscript is submitted, with review pending. My current work is an early-stage investigation of fault-injection attacks.
Beyond pure research, I care deeply about open science and community security. I served on the USENIX Security 2026 Artifact Evaluation Committee, received its Distinguished Reviewer Award, and co-captained Binghamton’s team in the global MITRE Embedded Capture the Flag (eCTF) competition to a 13th-place finish among 114 teams.
Doctoral research in systems security advised by Prof. Aravind Prakash. Published at DIMVA 2026 on WebAssembly binary bloat, received the USENIX Security 2026 Distinguished Reviewer Award, served on the USENIX Security AEC, and co-captained the MITRE eCTF team.
Engineered high-throughput Kafka bulk-messaging infrastructure and secure data pipelines for the NIH All of Us Research Program and Children’s National Hospital in Fairfax, Virginia.
Earned an M.S. in Computer Science. Conducted research at the Embodied Learning & Experience (ELX) Lab on AI-driven mental-health recommendation platforms and augmented-reality STEM-learning assistants.
Developed Java and Spring microservices, REST APIs, and Kafka IoT data pipelines for precision-medicine research platforms and wearable health integrations.
Earned a B.E. in Computer Engineering from the University of Pune. Co-invented an RNN-based Brain–Computer Interface (Patent No. 540976) and conducted early lifelogging research.