CB·SYS Christopher Burt

AI Automation Engineer

Building intelligent systems that think, act, and scale.

I'm Christopher Burt — an AI Automation Engineer focused on the practical work of bringing AI into the enterprise. From agentic systems and retrieval-augmented chatbots to rollouts, governance, and the engineering glue that keeps it all reliable in production.

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OpenAIAnthropicLangChainLlamaIndexPinecone GleanLangSmithn8nElevenLabs OpenAIAnthropicLangChainLlamaIndexPinecone GleanLangSmithn8nElevenLabs
About / Capabilities

A toolkit for the AI-native enterprise.

I work across the full stack of modern AI delivery — from foundation models and agent frameworks to enterprise rollout, governance, and the unglamorous engineering that keeps everything running in production.

MOD-01

Core AI & ML Engineering

  • LLMs & frameworksHands-on with the OpenAI API, Claude, and Llama, plus orchestration frameworks like LangChain, LlamaIndex, and emerging autonomous-agent frameworks such as CrewAI.
  • Retrieval-Augmented GenerationConnecting LLMs to enterprise data sources to reduce hallucinations and improve accuracy. Experience building enterprise RAG-powered chatbots for support and knowledge use cases.
  • Vector databasesWorking knowledge of Pinecone, Milvus, and Weaviate for semantic search and retrieval at scale.
MOD-02

AI Automation & Agentic Systems

  • Agentic workflow architectureDesigning multi-agent systems that can reason, plan, use tools, and execute multi-step tasks independently.
  • Workflow automation platformsExperience across n8n, Glean, Replit, ElevenLabs, and Zapier — including voice agents implemented for local small businesses.
  • API & tool integrationGiving AI agents "hands" by connecting them to enterprise systems like Salesforce, Slack, and Databricks via REST APIs.
MOD-03

Enterprise Rollout & Governance

  • AI implementationExperience with the rollout and adoption of enterprise AI search and discovery platforms.
  • Context engineering & advanced reasoningMoving beyond basic prompts into techniques like Chain-of-Thought, Tree-of-Thoughts, and few-shot prompting.
  • AI governanceDeeply knowledgeable of the AI development lifecycle: data privacy, access controls so models don't surface restricted data to unauthorized users, and evaluating outputs for safety and compliance.
MOD-04

Software Engineering Foundations

  • Programming languagesDeep proficiency in Python, with working experience in Java and TypeScript for enterprise backend integration.
  • CI/CD & MLOpsVersion control with Git and PR-driven workflows, model and agent monitoring with tools like LangSmith, and deploying solutions through automated pipelines.
Digital twin

Talk to the system I built about the person who built it.

Ask about my experience, skills, or background — this assistant runs on the same retrieval-augmented pipeline shown in Fig. 01, built as my professional digital twin.

cb-twin · rag pipeline · online
Christopher · twinHi — I'm Christopher's AI twin. Ask me about AI automation, enterprise rollout, vector databases, or my career at Ping Identity.
Contact

Let's build something reliable.

Whether it's an agentic workflow, an enterprise RAG rollout, or the governance layer that makes it safe to ship — tell me what you're working on.