💡 Passionate about scalable backend systems, AI workflow automation, LLM/VLM integration, and clinical AI infrastructure. Previously built distributed cloud services, automated testing systems, and IRB-approved medical AI pipelines used in real hospital settings.

Lead Engineer & Maintainer • NYCU × Taipei Veterans General Hospital

• Led development of an IRB-approved ophthalmology clinical AI system adopted in real hospital workflows.
• Built backend, dialogue engine, and clinical reasoning modules using Go/Python.
• Improved stability and diagnostic reasoning through system-level refactoring.
• Finalist at IMV Innovation Award 2025.
• Collaborated with clinicians to ensure safety, workflow compatibility, and robust auditability.

AI System Benchmarking & Tuning Lab, NYCU

• Built end-to-end automated workflows for product analysis, competitor retrieval, and LLM-based content generation.
• Added an auto-PDF generation + conversational refinement loop for marketing content.
• Developed a research paper fetcher with Discord alerts for team-wide research monitoring.

• A from-scratch compiler that parses and understands a simplified subset of the Ada programming language.
• Implemented a handwritten lexer and recursive-descent parser, built AST structures, and added basic semantic analysis (symbol table, type checks, undefined identifier detection).
• Generated a simple intermediate representation (three-address code) supporting variable declarations, assignments, arithmetic expressions, and elementary control flow (if, while).

📍 Hsinchu, Taiwan
📧 leungyantung@gmail.com
🔗 github.com/tung000107