Building production-grade intelligent systems.

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> cat about.md

name: Richard
role: AI/ML Engineer
focus: Building intelligent systems that operate autonomously at scale
languages: ["Java", "Python", "Go", "Rust"]
methodology: Prompt → Context → Harness → Loop
currently:
  building: Multi-agent systems & AI infrastructure
  exploring: MCP ecosystem, autonomous pipelines, LLM serving
  reading: Papers on context engineering & agent orchestration

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> cat engineering_layers.md

From a single instruction to autonomous systems — each layer builds on the last.

Layer	Focus	Key Concepts
01 Prompt	Instruction Design	Few-shot · CoT · Structured Output · Constraint Prompting
02 Context	Information Supply	RAG · Vector Search · Memory Systems · Knowledge Graphs
03 Harness	System Orchestration	Agents · Tool Use · MCP · Multi-Agent Coordination
04 Loop	Autonomous Operation	Feedback Loops · Self-Healing · Human-in-the-Loop · CI/CD for AI

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> ls tech/

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> stats

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Prompt → Context → Harness → Loop