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Michael Kilgore
Mid-Level Software Development Engineer specializing in AWS data pipelines and forecasting systems
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About
Built and deployed (via an Upwork contract) an LLM-powered agent for options trading that detects large options trade events, enriches them with market/filing data (price history, earnings transcripts, insider trading), and delivers recommendations via Telegram. Implemented schema-constrained outputs (Pydantic/Google GenAI), robust orchestration, logging, and error-notification handling, plus vector-DB-based reuse of prior outputs to improve consistency.
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Key Strengths
- Shipped an LLM agent to production for options-trade event scanning and decision support
- Pragmatic reliability approach with catch logic, user-facing error notifications, and extensive logging
- Structured output enforcement using Pydantic with schema-constrained model responses
- Designed a modular orchestration layer (Engine class) to manage multi-step workflows
- Used vector DB to store and reuse prior LLM outputs to improve consistency and monitor behavior
- Applied domain-specific validation (e.g., open interest thresholds) to control cost and improve signal quality
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