Summary
Work History
Education
Skills
Work Approach
English Proficiency
Role Focus
Core Technical Skills
Work Preference
Personal Information
Timeline
Generic
Open To Work

KEVIN PANG

New Orleans,LA

Summary

Computer Science graduate with hands-on experience in AI/ML security, coding, and cybersecurity. Skilled in evaluating and red-teaming generative AI systems, creating reproducible test cases, and developing automation tools to assess model safety, robustness, and capabilities. Experienced in offensive security, penetration testing, and secure coding practices, with a strong ability to follow complex guidelines and adapt quickly across tasks. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills. Innovative educator skilled in delivering tailored educational guidance and instruction. Known for high productivity, efficiently meeting learning objectives through effective planning and organization. Specialized skills include curriculum development, student assessment techniques, and adaptive teaching methods. Excel at communication, patience, and empathy, ensuring positive educational experiences and fostering an environment conducive to learning.

Work History

AI Tutor in Coding

  • Evaluated LLMs and AI agents for vulnerabilities, safety risks, and failure modes.
  • Designed offline, reproducible, auto-evaluable test cases to assess AI behavior and reasoning.
  • Conducted realistic attack simulations, including prompt injection and adversarial misuse.
  • Documented findings and provided mitigation recommendations aligned with AI safety principles.

Automation & Tooling

  • Developed Python-based automation scripts and custom tools for security testing and model evaluation.
  • Built lightweight environments and test harnesses to streamline AI capability assessments.

Cybersecurity Practice

  • Performed penetration testing across web applications, APIs, and infrastructure systems.
  • Applied secure coding standards to identify and reduce vulnerabilities.

Education

M.D. - Computer Science, AI/ML, Data Science, Cybersecurity

University of Arizona
Tucson, AZ
06-2022

Skills

  • Python
  • Bash
  • PowerShell
  • Prompt injection
  • Jailbreaks
  • Data leakage
  • Misuse scenarios
  • OWASP Top 10 for LLMs
  • AI red teaming
  • Safety evaluation
  • RAG pipeline risk analysis
  • Web penetration testing
  • API penetration testing
  • Network penetration testing
  • Infrastructure penetration testing
  • Offensive exploitation
  • Exploit development
  • Reverse engineering
  • Ghidra
  • Linux privilege escalation
  • Windows internals
  • Docker
  • Container security
  • CI/CD security concepts
  • Secure coding practices
  • Garak
  • PyRIT
  • Burp Suite
  • Metasploit
  • Nmap
  • Secure coding standards
  • Vulnerability assessment
  • Automation scripting
  • AI safety evaluation
  • Risk analysis
  • Effective communication
  • Critical thinking
  • Team collaboration
  • Reliability
  • Peer tutoring
  • Task prioritization
  • Creative problem solving
  • Technical documentation
  • Client engagement
  • Test case design

Work Approach

  • Comfortable working with complex, evolving project guidelines
  • Strong analytical and reasoning skills
  • Able to switch between tasks and domains efficiently
  • Clear technical communication and documentation

English Proficiency

Advanced / Fluent (C1-C2), Full professional proficiency in written and spoken English; experienced in producing technical documentation, security reports, and detailed AI evaluation feedback.

Role Focus

AI Tutor in Coding | GenAI Security & Red Teaming

Core Technical Skills

Python (automation scripts, test harnesses, AI evaluation), Bash, PowerShell, Prompt injection, jailbreaks, data leakage, misuse scenarios, OWASP Top 10 for LLMs, AI red teaming and safety evaluation, RAG pipeline risk analysis, Web, API, network, and infrastructure penetration testing, Offensive exploitation and exploit development, Reverse engineering (Ghidra or equivalent), Linux privilege escalation, Windows internals, Docker and container security, CI/CD security concepts, Secure coding practices (full-stack awareness), garak, PyRIT, Burp Suite, Metasploit, Nmap (or equivalent tools)

Work Preference

Job Search Status

Open to work

Work Type

Part TimeFull TimeContract WorkGig Work

Location Preference

Remote

Salary Range

$50/hr - $1000/hr

Personal Information

Available: Freelance / Remote

Timeline

AI Tutor in Coding

Automation & Tooling

Cybersecurity Practice

M.D. - Computer Science, AI/ML, Data Science, Cybersecurity

University of Arizona
KEVIN PANG