Security Engineer · Security Researcher · Applied Scientist · PhD Candidate · Stony Brook University
Building production-grade security systems that protect real-world applications at scale — from serverless platforms to Kubernetes clusters.
About
I am a Security Engineer, Researcher, and Applied Scientist completing a PhD in Computer Science at Stony Brook University, advised by Dr. Michalis Polychronakis. I bring 10+ years of combined industry and research experience spanning cloud and platform security, Kubernetes hardening, secrets management, static analysis, and penetration testing.
My research produces production-grade security systems deployed across hundreds of real-world applications. I designed and built LeakLess (NDSS 2025), KubeKeeper (EuroS&P 2025), LeakGauge, and Confine — each combining systems research with large-scale empirical evaluation. I am a Catacosinos Fellow and Internet Society NDSS Fellow (both 2025).
Before my PhD, I was Head of Software Security at Sadad Electronic Payment Company, leading threat modeling, architecture reviews, and penetration testing for a national-scale banking ecosystem — manually exploiting XSS, SQL injection, SSRF, IDOR, authentication bypass, and RCE vulnerabilities in production financial infrastructure.
I am seeking roles in Security Engineering, Security Research, or Applied Scientist positions — with a focus on cloud security, platform security, security tooling, and applied security research. Green Card Holder.
Research & Projects
Production-grade tools deployed across hundreds of real-world applications, translating cutting-edge research into practical defenses.
In-memory encryption protecting sensitive data against Spectre/Meltdown-class transient execution attacks in serverless platforms. Implemented on Spin and evaluated on real-world serverless applications.
Cryptographic Secrets protection for Kubernetes using RBAC and Admission Webhooks, eliminating excessive-permission exposures across real-world cluster deployments.
IaC-aware static analysis framework (CodeQL) tracing sensitive data flows across serverless deployments. Designed as a CI/CD security guardrail to catch secret exposure before deployment.
Automated seccomp policy generation for containers via static binary analysis, filtering unnecessary system calls to dramatically reduce the kernel attack surface.
Experience
Feb 2021 – May 2026
Security & Privacy Researcher
HexLab, Stony Brook University — Stony Brook, NY
May 2018 – Feb 2021
Head of Software Security Team
Sadad Electronic Payment Company — Tehran, Iran
Feb 2017 – May 2018
Researcher & Senior Software Security Engineer
APA Research Center, Amirkabir University of Technology — Tehran, Iran
Dec 2015 – Feb 2017
Senior Web Application Security Engineer
Stock Exchange Organization — Tehran, Iran
Skills
Publications
LeakLess: Selective Data Protection Against Memory Leakage Attacks for Serverless Platforms
Fake APIs, Real Threats: Studying Activities Targeting APIs in the Wild
LeakGauge: Infrastructure-as-Code–Aware Sensitive Data Flow Analysis in Event-Driven Serverless Applications
Awards & Honors
Catacosinos Fellowship for Academic Excellence and Research Potential
Department of Computer Science, Stony Brook University
Internet Society NDSS Fellowship
Network and Distributed System Security Symposium
CRA-WP Grad Cohort for Women & IDEALS
Computing Research Association
GAANN Fellowship (Graduate Assistance in Areas of National Need)
U.S. Department of Education
Graduate Students in STEM Leadership & Life Design Fellowship
Stony Brook University