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Frank Vu
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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