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Wei-Hsien Wang
Entry-level AI Engineer specializing in full-stack generative AI systems
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About
AI/full-stack product engineer who has shipped both user-facing and internal LLM products, from a photo-to-music recommendation app to an experimentation agent at Azazie. Stands out for combining modern app development with production-grade agent and GraphRAG systems, including a 500k+ email analysis platform and measurable impact like 3x experiment velocity, 75% setup-time reduction, and 65% faster task discovery.
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Key Strengths
- End-to-end full-stack ownership from frontend to backend to deployment
- Production AI/LLM systems using Gemini and Claude
- Agent workflow design with structured tool use and validation
- GraphRAG architecture at enterprise scale (500k+ emails)
- Strong grounding and hallucination reduction techniques
- Evaluation and monitoring of AI systems with RAGAS and trace review
- Balancing automation vs human-in-the-loop for operational risk
- Rapid prototyping in ambiguous early-stage environments
- Reduced A/B test setup time by 75%
- Increased experiment velocity by 3x
- Achieved 87% extraction precision in email analysis system
- Reduced task discovery time by 65%
- Improved RAGAS faithfulness by 9%
- Cut latency by 60%
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