Lorenzo Escobar

Cybersecurity engineer and AI Red Team Engineer.

About

Lorenzo Escobar is a cybersecurity engineer with a Master's in Cybersecurity from FIU. Currently working as an AI Red Team Engineer evaluating frontier LLMs on security domains.

Designing adversarial cybersecurity evaluations for frontier AI models, building full-stack apps, and exploring offensive security tooling.

Master of Science in Cybersecurity, Florida International University (2025). Bachelor of Science in Information Technology, Florida International University (2022). Key coursework includes Systems Security, Practical Applied Security, Security & Privacy Attacks & Defenses, Software Security, Cryptography, and IoT Security. CompTIA Security+ certified.

Projects

  • Tesori. Swift app that lets users search for paintings and build a personalized favorites list. Vapor backend on a personal Debian 12 server, PostgreSQL storage, bcrypt-hashed authentication. Status: In development.
  • Spotify Playlist Manager. Drag-and-drop web app to swap and reorganize songs across Spotify playlists. Vanilla JS, Spotify Web API OAuth. Status: Prototype, redeploying soon.
  • CityGeneratorScript. Blender Python add-on that procedurally generates low-poly city blocks with randomized materials, antennas, and rooftop generators. 5 stars on GitHub. Status: Released.
  • RemoteManagementTool. Educational multi-client TCP command & control tool exploring socket programming, threading, and the detection surface of basic C2 frameworks. Python. Status: Educational / authorized use only.

Resume

Experience

  • AI Red Team Engineer — DataAnnotation Contract · 2024 – Present. Designed adversarial cybersecurity evaluation scenarios for frontier LLMs. Tested models on SQL injection, LDAP injection, IDOR, authentication bypasses, and security misconfigurations in real production codebases. Graded outputs against OWASP LLM Top 10 and MITRE ATLAS-aligned criteria.

Academic Projects

  • Vulnerability Assessment & Penetration Testing Project · FIU, Spring 2025. Network reconnaissance and vulnerability scanning with Nmap, controlled exploitation via Metasploit, full penetration test report with remediation strategies.
  • GDPR Compliance Project · FIU, Fall 2024. Led a team of three to build a GDPR-compliant application with PostgreSQL backend and bcrypt-hashed credentials.
  • Network Infrastructure Project · FIU, Spring 2022. Configured Cisco/Juniper routers and switches, OSPF and BGP routing, debugged with Wireshark/tcpdump, remote management via SSH/VNC/Telnet using Quagga.

Education

  • Master of Science in Cybersecurity — Florida International University · 2025
  • Bachelor of Science in Information Technology — Florida International University · 2022

Skills

  • Certifications: CompTIA Security+
  • Languages: Java, Python, SQL, Swift, JavaScript, HTML/CSS
  • Frameworks: React, Vapor, Flask
  • Cloud: AWS, Azure, Google Cloud Platform
  • Developer Tools: Burp Suite, Docker, Git, Metasploit, Nessus, VirtualBox, Visual Studio, VMware, Wireshark
  • Operating Systems: Windows, macOS, Linux/Unix (Debian, Ubuntu, Kali, CentOS)

Contact

Email: [email protected]

  • GitHub: https://github.com/LorenzoEscobar
  • LinkedIn: https://www.linkedin.com/in/lorenzoescobar24/