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Richard Cuevas

@richardcuevas

AI full stack engineer building scalable backend systems and production LLM/RAG solutions.

United States
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What I'm looking for

I’m looking to build production-grade AI systems and scalable backends—RAG, agentic workflows, and safe guardrails—where I can optimize performance/cost and ship end-to-end features with strong engineering ownership.

I’m an AI Full Stack Engineer with 8+ years of experience building scalable backend systems and AI-powered applications. I specialize in deploying LLM systems—especially Retrieval-Augmented Generation (RAG), vector search, and context-aware workflows—so teams can move from prototypes to reliable production.

Most recently, I led a cross-functional team to integrate LLMs and RAG into enterprise-grade workflows, designing agentic AI orchestration that reduced execution time by 30%. I also implemented guardrails and validation layers that reduced unsafe outputs by 40%, optimized latency and infrastructure to deliver $150,000 in annual savings, and built scalable ETL pipelines to improve retrieval performance at scale.

Experience

Work history, roles, and key accomplishments

Encore Global logoEG

AI Full Stack Engineer

Dec 2023 - Jun 2025 (1 year 6 months)

Led a team of 5 to integrate LLMs and RAG into enterprise production workflows, reducing workflow execution time by 30%. Implemented guardrails that reduced unsafe outputs by 40% and delivered $150,000 in annual savings by optimizing API latency and backend infrastructure.

Insight Enterprises logoIE

Full-Stack Developer

Dec 2021 - Oct 2023 (1 year 10 months)

Designed backend architecture for large-scale event technologies, improving API integrations and cutting manual data entry by 20 hours per week while reducing errors by 15%. Built AI-driven real-time analytics and indexing strategies that reduced query time by 25% and increased user engagement by 15%.

Education

Degrees, certifications, and relevant coursework

University of Arizona logoUA

University of Arizona

Bachelor of Science, Computer Science

Completed a Bachelor of Science in Computer Science at the University of Arizona.

Conservatory of Recording Arts and Science logoCS

Conservatory of Recording Arts and Science

Technical Certificate, Recording Engineering

Completed a Technical Certificate in Recording Engineering at the Conservatory of Recording Arts and Science.

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