CV

Senior Cyber Engineer

MITRE Corporation

Prototyping containerized data ingestion pipelines, LLM-assisted architecture analysis, and automated software supply-chain verification for government sponsors.

• Architecture & Prototyping: Co-led the design and end-to-end prototyping of a containerized AMQP 1.0 data ingestion pipeline built on Protobuf, Rust, Go, Docker/Podman, and PostgreSQL.
• Sponsor Engagement & Technical Trade-space: Presented architectural prototypes and sponsor-aligned demonstrations directly to primary DoW sponsors; these engagements informed technical trade-space decisions and prototype priorities.
• AI-Assisted System Analysis: Led applied research and prototyping of an LLM-based pipeline using MCP, Python, and OpenCode to extract structured, code-traceable architecture knowledge from legacy codebases, supporting software assessment and modernization.
• Artifact-Based System Modeling: Prototyped the analysis of binaries, SBOMs, configurations, and delivery artifacts to assess architectural and technical risk without proprietary source code. Proposed extracting these results into textual notation (e.g., SysML v2) for headless, reproducible system modeling to reduce subjectivity for systems engineers.
• Supply-Chain Security: Designed and deployed a modular, containerized software supply-chain verification framework. Extended TruffleHog with a custom file detector that extracts import statements from repository files, cross-checks them against SBOMs, and flags missing, unused, and internal-only packages. Combined dependency analysis with embedded-secret and configuration-risk detection.

Research Assistant

Virginia Tech

Ph.D. research with Dr. Binoy Ravindran on compiler- and binary-level security: control-flow integrity, ARM Memory Tagging Extension integration, and automated data compartmentalization.

• Designed and deployed compiler- and binary-level security mechanisms to enforce control-flow integrity and automated data compartmentalization across untrusted code modules.
• Integrated the ARM Memory Tagging Extension (MTE) into a compiler toolchain, strengthening runtime memory safety and fault isolation.
• Implemented static and dynamic taint analysis to identify sensitive data paths and compartmentalization targets, automatically rewriting assembly code to isolate protected data regions.

Software Engineer

Raytheon

• Supported documentation compliance for unclassified deliverables.

Teaching Assistant

Penn State University

• Taught CMPSC 122: Intermediate Programming and led weekly discussion sessions.

Research Assistant

Penn State University

Advisor: Dr. Swaroop Ghosh

• Researched hardware security and reverse-engineering countermeasures using transistor-level camouflaging and logic obfuscation.
• Developed a threshold-voltage-based technique to conceal gate interconnects and logic identities.

Research Assistant

University of South Florida

Advisor: Dr. Swaroop Ghosh

• Researched hardware security primitives leveraging CMOS and spintronic memory technologies, exploring MTJ-based techniques to improve PUF stability and STT-MRAM robustness against magnetic and thermal attacks.
• Completed a tape-out of a padframe for prototype fabrication.

Undergraduate Intern

Intel

• Developed analytics modules for the AIM Suite project to measure customer engagement with in-store digital displays.
• Evaluated MongoDB integration for production deployment, assessing scalability, data modeling, and system compatibility.

Ph.D.

Virginia Tech

Computer Engineering

• GPA: 3.74 / 4.00
• Dissertation: Enhancing Software Security through Code Diversification Verification, Control-flow Restriction, and Automatic Compartmentalization
• Research focus: software verification, control-flow integrity, and automated compartmentalization.

M.S.

University of South Florida

Computer Engineering

• GPA: 3.76 / 4.00
• Thesis: Security of Non-Volatile Memories — Attack Models, Analyses, and Counter-Measures
• Research focus: spintronics-based memory security.

B.S.

University of South Florida

Computer Engineering

• GPA: 3.69 / 4.00