Writing Samples
Technical writing examples across docs-as-code workflows, AI-assisted pipelines, open-source tooling, and enterprise infrastructure.
Writing samples
These examples demonstrate my technical writing across docs-as-code workflows,
AI-assisted documentation pipelines, open-source tooling, and enterprise
infrastructure. Original work appears first; employer samples follow as
supporting context.
Docs-as-code architecture and AI-assisted pipelines
AI-augmented documentation pipeline (Jupyter notebook)
A fully executable portfolio artifact demonstrating a three-phase documentation
quality pipeline built on this Docusaurus site. The notebook runs LLM-as-a-judge
evaluation against real content using the Anthropic API, computes weighted quality
scores, and validates the site for agent-friendly consumption.
Two versions available — Anthropic SDK (claude-sonnet-4-6) and OpenAI SDK
(gpt-4o) — demonstrating the same pipeline architecture across providers.
View on GitHub — Anthropic version
View on GitHub — OpenAI version
Open-source project documentation
VectorLint
I created documentation for VectorLint to contribute, an open-source LLM-based prose linter that
enforces style guides using an LLM-as-a-Judge approach. My proposed docs include:
- Quickstart and Installation How-tos
- A tutorial for running VectorLint iterating your style rules depending on your findings
- Rule pack authoring for advanced style rule configuration
- CI integration and quality scoring How-tos
I wrote these articles in coordination with the project lead, using MDX on Mintlify, a common toolchain at developer-tool companies.
My proposed VectorLint documentation
Enterprise infrastructure samples
The following samples are from my nine years at Pegasystems documenting
Kubernetes deployments, database configurations, Kafka data streams, and
Pega Cloud security. They demonstrate scope and technical depth across
complex enterprise systems.
Note: these links point to Pegasystems' live documentation. Content may
have been updated since my departure in August 2025.
Kubernetes and deployment
Helm-based runbooks supporting Ubuntu Linux and PowerShell commands,
covering Azure AKS, AWS EKS, Google GKE, and Red Hat OpenShift deployments:
Pega Helm Charts documentation
Deploying external Hazelcast on a VM cluster with Docker — demonstrates
writing for an audience configuring encrypted inter-server authentication:
Deploying external Hazelcast on a VM cluster
Database configuration
Setup guides covering Oracle, PostgreSQL, SQL Server, and DB2:
Preparing your database for an installation
JDBC URL configuration for external relational database instances:
Creating and updating external relational database instances with JDBC URLs
API documentation
JVN Chatbot API
End-to-end API documentation for a Node.js/Express chatbot API I built as a
portfolio project. Includes a full OpenAPI 3.0 specification and interactive
documentation integrated into this Docusaurus site via Redocusaurus 2.5.0,
enabling inline endpoint validation.
Blog: Writing for agents, not just for humans anymore
A practitioner-voice article on what it means to write documentation for a new
audience — the RAG pipelines and coding agents that process content
without reading it. Covers frontmatter schema design as a retrieval engineering
decision, with citations to Dachary Carey's agent skill analysis and the
Agent-Friendly Documentation Spec.
Updated 5 months ago