Results-driven bilingual (KR/EN) LLM evaluation specialist and backend engineer (4+ years at Kakao Ad Server). Strengths include high-fidelity prompt and rubric design, structured comparative judgment (A/B, multi-turn), and clean multilingual (voice + text) data generation. Earned more than USD 10,000 as a consistent contributor across coding, STEM, generalist, and bilingual evaluation streams. First author in real-time face recognition; proven algorithmic problem solving (Grand Prize, UOS). Blend of production and review latency-aware systems mindset and linguistic nuance for scalable model quality improvement.
Failure mode identification (logic chain breaks, hallucinated code libraries, register shifts)
Error taxonomy (hallucination, reasoning gap, spec noncompliance, tone mismatch, unsafe leakage)
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