– Skills –

Introduction
I am a cybersecurity professional with a strong foundation in security technologies, frameworks, and technical skills. My expertise includes industry-recognized certifications, such as CompTIA Security+, CySA+, CCNA, and SSCP, alongside hands-on experience with compliance frameworks like CMMC, NIST, and DoD STIGs. I have a proven track record in network security, automation, and system administration, with specialized skills in managing identity and access for secure environments and deploying containerized services. In my role at Old Dominion University, I integrated security controls into the development lifecycle and led efforts in vulnerability management, enhancing overall security compliance.

Cybersecurity Expertise
  • Certifications:
    • CompTIA Security+ (Expires: October 2026)
    • CompTIA CySA+ (Expires: October 2026)
    • Cisco Certified Network Associate (CCNA) (Expires: June 2026)
    • (ISC)² SSCP (Expires: March 2027)
  • Standards & Frameworks:
    • CMMC 1.0/2.0
    • NIST 800-53/37
    • DoD STIGS
  • Security Technologies:
    • Rapid7 Nexpose
    • Cynerio
    • Podman, Docker, Ansible, Packer
    • SMTP server management within CUI environments
    • AWS administration and Cisco technologies

Technical Skills

  • Network Security: Expertise in securing networks, including experience with SIPRnet, MUSA, and MedIoT devices.
  • Automation & Scripting:
    • PowerShell scripting
    • Automated deployment scripts for security controls
  • Identity and Access Management: Managed IAM for a university setting, including network services for printers, security cameras, and PKI card scanners.
  • System Administration: Virtual machine management, containerization, and server administration.

Professional Experience

  • Security Research & Development:
    • Integrated security controls into the development lifecycle at Old Dominion University.
  • Vulnerability Management: Conducted vulnerability remediation and patch management to ensure security compliance.

A Dockerfile code sample demonstrates my ability to effectively build and manage containerized services

A container configuration script demonstrates my ability to automate and securely deploy Postfix services using Podman with specific volume mappings, time zone settings, and port configurations.

Project Overview:
This project involved analyzing the effectiveness of object detection models under adversarial conditions by comparing detection scores across clean images and images with adversarial patches applied. By evaluating detection scores on a sequence of frames, I identified how different adversarial patch sizes (5×5 and 25×25) impacted the model’s ability to detect objects, highlighting vulnerabilities in detection accuracy.

Skills Applied:
I applied my skills in data analysis and visualization to interpret complex datasets and present the results in a clear, comparative graph. Additionally, my knowledge in cybersecurity, specifically adversarial machine learning, was crucial in understanding the implications of the adversarial patches on detection models. The project also required scripting to automate parts of the analysis, demonstrating my proficiency in automation.

Career Relevance:
This experience directly supports my goal of specializing in security engineering and understanding adversarial impacts in machine learning systems. The project deepened my understanding of model vulnerabilities, which aligns with my career objective to implement security measures that strengthen system defenses against adversarial threats.