This portfolio presents a curated set of documentation samples spanning how-to guides, developer tutorials, API references, and conceptual system overviews.
2025 – 2026: SAPinsider / ERP Today
SAPinsider – Conceptual 1
Note: Public Documentation
A conceptual article analyzing the impact of generative AI on enterprise ERP platforms. Written for CIOs and senior IT leaders, it translates emerging AI capabilities into concrete operational benefits, risks, and governance considerations. Representative of advertiser-sponsored content that bridges technical analysis, business impact, and strategic decision-making.
Archives of 100+ articles on SAPinsider
SAPinsider – Conceptual 2
Note: Public Documentation
A magazine-published conceptual piece designed for a mixed technical and executive audience. Demonstrates the ability to synthesize roadmaps of advertising sponsors, enterprise use cases, and risk frameworks into a coherent narrative. Typical of externally published articles that inform platform adoption, architecture direction, and long-term technology strategy.
2023 – 2025: Grafana Labs
Grafana Labs – Conceptual
Note: Public Documentation
A conceptual overview of Grafana’s backend plugin system, written to establish mental models before implementation. Explains architecture, use cases, capabilities, and tradeoffs for developers extending the platform. Illustrates how to document complex systems in a way that aligns product intent, technical constraints, and developer experience.
Explore other articles published on Grafana Plugin Development.
Grafana Labs – Tutorial
Note: Public Documentation
A step-by-step developer tutorial for building a streaming data source plugin with both frontend and backend components. Combines scaffolding, configuration, code examples, and testing workflows. Typical of hands-on instructional docs designed to help developers successfully implement and extend a production platform.
Read blog post: “The Grafana developer portal: your gateway to enhanced plugin development”
2022 – 2023: Amazon
Amazon – How-to Guide
Note: Internal Documentation. Sample is Fictionalized.
A task-driven how-to guide for operations and logistics teams, focused on regulated workflows and exception handling. Demonstrates step-by-step procedural writing, edge-case coverage, compliance checklists, and system-to-system integration guidance typical of enterprise internal tools and customer-facing admin platforms.
2021 – 2022: Electronic Arts
EA – Technical Content
Note: Internal Documentation. Sample is Fictionalized.
A developer-facing API reference and integration guide for a real-time Presence service. Combines conceptual framing, architecture explanation, endpoint documentation, and code-level examples. Illustrates how to document distributed systems, event-driven flows, and SDK usage for engineers integrating platform services into production applications.
2021 – 2021: Microsoft
Microsoft – API Reference
Note: Public Documentation
A concise, developer-facing API reference for a client-side analytics SDK. Focuses on clear method definitions, parameters, usage constraints, and examples. Representative of external documentation optimized for fast adoption, correct implementation, and safe usage by a broad developer audience.
Read “Clarity click maps – what can they do for you?”
Technical Editing: Explore Git commits:
- https://github.com/jperez1969/bing-docs
- https://github.com/jperez1969/bing-search-sdk-for-net-1
- https://github.com/jperez1969/bing-search-sdk-for-python
2019 – 2021: Google
Google – How-to Guide
Note: Internal Documentation. Sample is Fictionalized.
A hands-on how-to guide for engineers deploying and configuring a backend service within a large internal platform. Emphasizes environment setup, conformance requirements, command-line workflows, and production rollout. Representative of internal enablement documentation that helps teams move from prototype to compliant, deployable services.
Google – Conceptual
Note: Internal Documentation. Sample is Fictionalized.
A conceptual and technical reference document explaining a core mapping data model and Protobuf schema. Focuses on mental models, architectural rationale, performance tradeoffs, and post-launch integration pitfalls. Representative of deep platform documentation written to align multiple teams around shared infrastructure and long-term system correctness.