CV

Education

• M.S. in Computer Science, University of New Mexico, 2026 (expected)
• B.S. in Computer Science, GitHub University, 2024

Work experience

• Sandia National Laboratories – Intern
  • Albuquerque, NM (May 2023 – May 2024)
  • Assisted the lead engineer in modernizing and automating the team’s support ticketing system.
  • Developed JavaScript-based automation tools, including a round-robin ticket assignment system and report auto-population scripts.
  • Collaborated across teams to integrate and stabilize new features.
  • Expanded service coverage to additional sites, increasing team efficiency and impact.
• Los Alamos National Laboratory – Intern
  • Los Alamos, NM (May 2022 – May 2023)
  • Authored a system requirements document for modernizing the Facility Engineering Department’s SharePoint site.
  • Analyzed workflows, identified inefficiencies, and translated stakeholder needs into actionable technical specifications.
  • Designed an implementation plan to guide the modernization of department operations.

Skills

• Technical Languages: Python, C, C#, Bash
• Tools & Frameworks: Git, Linux, Unity, seccomp, cFS, NOS3
• Professional Skills: Project management, analytic thinking, technical writing, technical communication, research presentation

Certificates

• CompTIA Security+ – August 2024
• Google Project Management Professional – June 2022

Publications

SpyChain: Multi-Vector Supply Chain Attacks on Small Satellite Systems

Vanlyssel, J., Sobrados, E., Anwar, R., Roman, G.-C., & Anwar, A. (2025). *SpyChain: Multi-Vector Supply Chain Attacks on Small Satellite Systems.* arXiv preprint [arXiv:2510.06535](https://doi.org/10.48550/arXiv.2510.06535)

Silent Subversion: Sensor Spoofing Attacks via Supply Chain Implants in Satellite Systems

Honors & Awards

• CyberCorps Scholarship for Service
• UNM Dean’s List (GPA > 3.5)

Professional Activities

• UNM Cyber Club – Active participant in Capture the Flag (CTF) competitions.
• Hack The Box – Regularly complete Pwnbox exercises in network exploitation and privilege escalation.
• LeetCode Practice – Continuous algorithm and data-structure training in Python.