- Analyzed security and network architecture requirements for a vehicular cloud computing platform, identifying vulnerabilities in distributed edge environments across 100+ technical and stakeholder engagements.
- Developed applied expertise in secure network design, threat modeling, and risk assessment for decentralized, node-based communication systems, directly informing co-authored IEEE publication.
- Competitively selected for NSF National Cohort from Regional program based on technical depth and discovery outcomes.
Hands-on IT and network infrastructure professional with an M.S. in Cyber and Information Security (4.0 GPA, NSA/ABET-accredited) and practical experience deploying virtualized environments, configuring networks, and securing distributed systems. Built and manage a GPU-accelerated homelab running VDI, Docker, and local AI workloads. Co-authored peer-reviewed IEEE research on distributed network security. Targeting entry-level IT support, network engineering, and infrastructure roles.
- Investigated network security vulnerabilities in edge computing and distributed cloud infrastructure, building expertise in threat modeling, risk assessment, and secure system design.
- Mapped architecture requirements and failure modes for decentralized vehicular cloud networks, laying groundwork for progression to NSF National Cohort.
- Designed and deployed a GPU-accelerated Unraid server with network segmentation, static IP configuration, and VLAN-aware layout supporting VDI and local AI inference workloads.
- Configured GPU passthrough enabling high-performance Virtual Desktop Infrastructure for remote compute access; orchestrated Docker containers and VMs for heterogeneous workloads.
- Administered Linux environments including CLI-based service configuration, Netplan network setup, and environment management across persistent VMs.
Contributed to a distributed trust-based authentication model for Vehicular Cloud Computing, replacing central-server dependency with node-level collaboration. Validated via simulation across network security, performance, and fault tolerance metrics.
GPA 4.0 · NSA- and ABET-accredited · Network Security, Cryptography, Digital Forensics, Secure Software Engineering
GPA 3.32 · Concentration: Cyber Security Systems · Algorithms, Systems Programming, Applied Security