AI Engineer | 2026 ASTRI Intern | Final Semester MSc AI (CUHK) | CompTIA Security+ | RPI Alum
Python | PyTorch | OpenCV | Computer Vision | Deep Learning | Multimodal AI
Building multimodal AI pipelines
MSc AI candidate at CUHK focused on computer vision, multimodal AI, and pipeline development. Built a 6-stage multimodal pipeline at ASTRI from scratch — integrating YOLOv8, ResNet-50, custom OCR, and Qwen-VL — learning on the job and delivering a working prototype with 70–120% performance improvement.
Background includes security (RPI, CompTIA Security+, NCL Top 5%) and full-stack development. Now looking to apply my AI skills to build programs that automate tasks and get more precise results.
Seeking: Full-time AI Engineer / ML Engineer roles in computer vision, multimodal AI, or AI/ML engineering.
Core AI
Computer Vision Deep Learning Multimodal AI
ML Engineering
PyTorch OpenCV YOLO OCR CVAT Model Training Data Annotation
Languages
Python JavaScript C
Development
React Node.js Git
Security
Vulnerability Assessment Cryptography
Cloud & Infrastructure
AWS Docker MongoDB
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
Model Architecture & Benchmark Analysis - Comparative survey of six VLMs analyzing both design and trade-offs
- Role: Architecture analysis, benchmark evaluation (MME), and model-specific study (InternVL, Mini-Gemini)
- Impact: Authored A-grade comparative survey paper for graduate course
- Tech: Literature review, model architecture analysis, benchmark comparison
- Note: Co-authored for graduate course at CUHK; full paper available upon request
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:
- Multimodal AI and computer vision projects
- AI/ML engineering and research collaboration
- Security challenges in AI and software systems
Reach out via LinkedIn or Email: raphael.chung.sh@gmail.com