Curriculum vitae
Frank Vu
AI Engineer · Software Quality Engineer
- Munich, Germany
Summary
I combine AI engineering, software architecture, and software quality to build and validate reliable software systems. My focus is on LLM applications that can be tested, evaluated, and trusted in production.
Core competencies
- AI engineering — LLM applications, RAG, AI agents
- AI quality — evaluation, testing, reliability
- Test automation — scalable test systems, CI/CD
- Software design — architecture, clean code, system design
Selected projects
- Relynx Requirement Intelligence
AI · Atlassian Forge · TypeScript
AI-powered requirement analysis for Jira, helping teams improve requirement quality and derive structured engineering insights.
- LLM Evaluation Lab
Python · LLM · Evaluation
A practical project for evaluating LLM outputs using reproducible tests, evaluation metrics, and representative examples.
Technical skills
- Languages
- TypeScript, Python
- AI
- LLM applications, Retrieval-augmented generation, AI agents, LLM evaluation
- Quality
- Test automation, CI/CD, Test strategy
- Platforms
- Atlassian Forge