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Yuan-Hsuan Wen
Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems
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About
Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.
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Key Strengths
- Designed a bug-system interface integrating LLMs to improve QA and engineering efficiency
- Balances response time vs accuracy tradeoffs in system design
- Early identification of edge cases/failure modes via architecture reviews and weekly reporting
- Pragmatic handling of hardware constraints through stakeholder communication and performance tradeoffs
- Able to execute as a solo project owner while coordinating with management for support/resources
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