AI DevOps Engineer
Building AI products end to end, from the LLM layer to the infrastructure that runs it in production.
I build and operate AI systems, not just the application logic, but the cloud infrastructure, CI/CD, and observability that keep it running in production. I work across the full path: design the system, containerize it, deploy it, automate the pipeline, and monitor it live. I care about understanding why each piece is built the way it is, not just that it works.
Currently focused on infrastructure, observability, and agentic systems.
Cloud & Infrastructure
CI/CD & Observability
AI / LLM Systems
Backend & Data
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Production AI proposal platform, LangGraph pipeline with hybrid RAG and human checkpoints, deployed on AWS with full CI/CD and observability.
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Structure-aware RAG engine for regulated documents - returns exact verbatim citations with section and page, not summaries.
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Open-source hands-on Linux/DevOps practice platform - live with real users, deployed on AWS S3 + CloudFront with automated CI/CD.
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Documented hands-on AWS builds across IAM, VPC, Lambda, KMS, Secrets Manager, and more - with architecture notes and decisions.
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