MSc AI Candidate @ CUHK | AI Security | CompTIA Security+ | RPI Alum

Python | C | React | AWS | PyTorch | Docker

Building secure intelligent systems

CompTIA Security+ certified RPI graduate transitioning to AI Security through MSc in AI studies at CUHK. Background includes competitive cybersecurity (NCL Top 5% Team), low-level exploitation, and full-stack development. Currently focused on adversarial machine learning.

Seeking: Summer 2026 internships in AI Security

Security Domains Application Security Threat Modeling Vulnerability Assessment Cryptography Cloud Security

Languages & Core Technologies Python C JavaScript React Node.js MongoDB

Cloud & Infrastructure AWS Docker

AI/ML PyTorch TensorFlow

AI Memory Systems & Game Integration - Local AI Dungeon Master with persistent memory across gaming sessions

• Role: Prompt engineering and vector database configuration
• Impact: Designed world-building templates and implemented ChromaDB memory storage for consistent AI personalities
• Tech: mem0ai, Ollama (Qwen3:8B), ChromaDB, Neo4j, Python 3.12+
• Note: Research project exploring persistent memory systems for D&D gameplay

Systems Security - Recreated Ken Thompson's seminal attack by modifying the TCC compiler

• Role: Architecture analysis and exploit development based on published concept
• Impact: Authored comprehensive methodology and validated self-replicating backdoor functionality
• Tech: C, compiler internals (libtcc)
• Note: Implementation completed based on Thompson's theoretical description before his specific technical approach was published

Security Architecture - Analyzed architectural vulnerabilities in cloud-connected IoT systems

• Role: Threat modeling and security analysis
• Impact: Authored A-grade research paper proposing defense models
• Tech: Threat modeling, cloud security
• Note: Research conducted collaboratively; security analysis and paper authored individually

Cryptography & Network Security - Two-phase educational project implementing defensive protocol design and offensive security assessment

• Role: Paired programming for protocol implementation and security assessment
• Impact: Uncovered critical flaws including weak key space and hardcoded credentials in peer implementations
• Tech: Python, RSA, S-DES, HMAC-SHA1, cryptanalysis

Industry Application - Full-stack system using computer vision to automate aircraft safety compliance checks

• Role: Frontend development and user interface design
• Impact: Built and iteratively improved user interface based on stakeholder feedback, enabling successful demonstration
• Tech: JavaScript, HTML, CSS, Bootstrap, UI/UX design

Web Platform - Public website and CTF management system for RPI's cybersecurity lab with separate frontend/backend services

• Role: Backend API and database architecture
• Impact: Delivered functional backend service enabling student training and write-up management
• Tech: Node.js, Express.js, MongoDB, RESTful API design

I'm always open to discussing:

• Open-source security tools and research collaboration
• AI security and adversarial machine learning challenges
• Technical reviews and security architecture discussions

Reach out via LinkedIn or Email: raphael.chung.sh@gmail.com