Dylan User
@dylanuser6
AI Systems Engineer building production-grade LLM/RAG automation and full-stack SaaS that turns data into action.
What I'm looking for
I build production-grade AI systems and full-stack SaaS products that automate workflows, power intelligent applications, and turn data into actionable insights. I focus on layers that deliver scalable, real-world solutions—not just API integrations.
I design end-to-end AI SaaS platforms (MVP → production) with LLMs, auth, billing, and scalable architecture. I also build workflow automation and internal tools that replace manual processes, and I create RAG & AI search knowledge systems with semantic search and AI assistants over your data.
My work covers complete AI system design: full-stack architecture (frontend + backend + AI), RAG pipelines and vector databases, and prompt & context orchestration. I deploy on AWS using Docker and CI/CD to deliver reliable, scalable systems ready for production.
In practice, I’ve reduced manual work by 60% through AI automation, improved SaaS engagement with RAG-based search, and delivered scalable AI systems deployed on AWS. When you need a production-ready AI system or full-stack SaaS end-to-end, I’m ready to build.
Experience
Work history, roles, and key accomplishments
AI Engineer
workerlab
Feb 2021 - Feb 2026 (5 years)
Designed and developed production-grade AI SaaS platforms using OpenAI, LangChain, and RAG architectures
Built AI automation systems that reduced manual workflows by up to 60%
Developed intelligent document-processing and data-extraction pipelines using Python and LLMs
Created scalable full-stack applications using React, Next.js, Node.js, FastAPI, and Laravel
Education
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Dylan hasn't added their education
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