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Sam Wiley
Junior Full-Stack Software Engineer specializing in web, mobile, and cloud infrastructure
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About
Built a demo-live LangGraph/LangSmith LLM agent that translates natural language into SQL against a self-built MLB statistics database, using a vector-store knowledge base of example queries. Focused on predictable orchestration via conditional nodes, YAML-driven behaviors, and tool-gated function calling, with testing via LangSmith and Python scripts.
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Key Strengths
- Built a LangGraph agent that converts natural language questions into SQL and queries a custom MLB database
- Debugged and iterated agent workflows using LangSmith node-by-node tracing
- Designed conditional abort paths and tool access gating to make agent behavior more predictable
- Reduced query complexity/error risk by creating SQL views as an abstraction layer
- Created a vector-store knowledge base with example queries to improve text-to-SQL performance
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