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Ryan Boines
Senior AI/ML Engineer specializing in LLMs, AI agents, and cloud-native backend systems
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About
Built and owned a production-grade RAG/LLM support automation system on AWS using GPT-4, Pinecone, FastAPI, and Redis, taking it from initial experimentation through deployment, monitoring, and iterative improvement. Their work reduced support workload and ticket volume by about 40%, improved CSAT and self-service resolution, and they also created shared Python/LLM infrastructure that accelerated other teams' delivery from weeks to days.
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Key Strengths
- Owned production LLM system end-to-end from experimentation through deployment and monitoring
- Scaled RAG support platform to thousands of requests per minute
- Reduced manual support workload by over 40%
- Improved support efficiency with faster first-response times and higher self-service resolution
- Strong production AI reliability engineering with caching, autoscaling, rate limiting, and circuit breakers
- Practical LLM safety approach using prompt constraints, confidence checks, fallbacks, and human escalation
- Data-driven iteration using offline evals, A/B testing, regression checks, and human review loops
- Balanced latency, cost, and quality through retrieval optimization and tiered model strategy
- Built reusable Python SDK/services that cut feature development from weeks to days
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