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Samuel Park
Mid-level Software Engineer specializing in backend systems, DevOps/SRE, and AI workflows
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About
Built an end-to-end automated trading system for Polymarket, including Go/Python execution services, Terraform-scheduled ETL/feature pipelines, and monitoring on modest hardware. Also shipped a production LLM+RAG signal verifier/explainer that grounds trade decisions in external context (news/social) with vector DB retrieval and guardrails, plus a lightweight RAGAS-style eval loop on ~50 resolved markets that improved signal faithfulness by ~15%.
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Key Strengths
- Owned an automated trading agent end-to-end (ETL → feature engineering → execution bot → monitoring)
- Built concurrent, scheduled data pipelines in Go/Python with Terraform-managed infrastructure
- Applied rigorous backtesting and financial performance metrics (e.g., Sharpe ratio) to iterate on strategy
- Shipped a production LLM+RAG signal verifier/explainer grounded in external context (news/social)
- Implemented practical LLM guardrails (retrieval fallback, strict prompting, similarity thresholds)
- Designed a lightweight RAGAS-style evaluation loop on ~50 resolved markets; improved faithfulness ~15% via chain-of-verification prompting and stricter similarity thresholds
- Experience ingesting and normalizing messy blockchain data (local geth logs) with observability and automated refresh loops
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