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Kevin Cruz
Senior Gen AI Engineer specializing in agentic LLM systems
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About
Built and owned end-to-end production systems for a healthcare platform, including a predictive task recommendation feature (React + FastAPI + ML on AWS ECS) that cut backlog 20% and saved coordinators ~10 hours/week. Also productionized an AI-native RAG system (vector DB + LLM) delivering 40% faster query resolution, and led phased modernization of a monolithic FastAPI service into async microservices using feature flags and canary releases.
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Key Strengths
- End-to-end ownership across frontend, backend, data, and infrastructure
- Shipped predictive task recommendation system in healthcare with measurable impact (20% backlog reduction, 35% adoption increase, ~10 hours/week saved)
- Productionized RAG + vector DB + LLM system with measurable impact (40% faster query resolution)
- Strong production reliability practices (CI/CD, logging/monitoring, CloudWatch, feature flags)
- Data quality and scaling mitigation (validation, fallback logic, async processing, latency/error monitoring)
- Legacy modernization without regressions using phased refactors, canary releases, and parallel testing
- Effective stakeholder partnership with CTO-level goals into phased roadmap and prototypes
- Able to operate embedded across multiple teams with minimal oversight and ship within weeks
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