- I focus on Agent Developer / LLM Application Engineer.
- I now have hands-on proficiency in Python engineering, production-grade RAG pipelines, and LLM service delivery.
- Core strengths include hybrid retrieval (BM25 + vector), reranking, context compression, and evaluation-driven optimization with clear metrics.
- I can build reliable systems with FastAPI, Docker, Redis, structured testing, and cost-aware API orchestration.
- I have practical experience with Agent design patterns such as ReAct and Plan-and-Execute, and I choose architectures based on task complexity and ROI.
- I stay actively curious: I learn new tools quickly, validate ideas through rapid prototypes, and turn lessons into reusable engineering patterns.
- I value disciplined iteration, clear technical documentation, and continuous improvement from feedback.
- Chatbot deployment strategy: domestic static entry, overseas chatbot service, and API ownership plan.