Technical Writing
My technical writing spans SOPs, work instructions, service bulletins, and conceptual explainers — including emerging work in AI systems and symbolic interfaces. I specialize in making complex procedures and principles clear and actionable — whether for internal teams, external users, or forward-looking technologies.
Selected Samples
Embedded Help & User's Manual
Tools Used: Adobe InDesign, Microsoft Word, Microsoft Excel, Embedded Help Integration Tool for Unity
This embedded help document was created to support users of the AE Techron 3110A test system. It provides structured guidance for engineers using the 3110A to perform standards-based immunity testing for EMC compliance.
I developed this manual in collaboration with engineering, programming, technical support, and QA teams, combining interface screenshots, operational steps, and contextual explanations. It served dual purposes: as an embedded user help system and a standalone PDF guide provided on the company website to help drive sales. The document helped reduce support queries and ensured consistency in test operations across internal teams and customer sites.
Highlights include:
- Integrated screenshots and UI references
- Clarification of test standard parameters (IEC, MIL-STD, etc.)
- Troubleshooting and recovery guidance
- Versioning aligned with firmware and standards updates
Product Quick Start Guide
Tools Used: Adobe InDesign, Adobe Acrobat (CorelDRAW for legacy assets)
This two-page Quick Start Sheet was developed to provide a visual, user-friendly summary of key setup and safety procedures for the AE Techron 8504, a high-power digital amplifier used in demanding EMC and industrial test environments.
This quick-reference guide was created in collaboration with the engineering team and incorporated inputs from product testing, end-user feedback, and technical support. It condenses core instructions from the full user manual into a large-format (11x17 inch) reference. The design emphasizes clarity, minimal jargon, and critical safety highlights and was developed to support rapid onboarding and reduce support calls.
Highlights Include:
- Step-by-step startup and shutdown procedures
- Clear AC power connection and input/output wiring instructions
- Safety and shock hazard warnings with bold visual callouts
- Mounting, ventilation, and DIP switch configuration guidelines
Engineering Documentation & Internal Comms
Tools Used: Microsoft Word, Adobe InDesign, Adobe Acrobat
Technical Writing that Drives Action
I’ve authored and maintained hundreds of internal documents — from Work Instructions and Standard Operating Procedures to Field Service Notes and Corrective Action Reports. Whether guiding technicians through hardware setup, documenting ERP workflows, or capturing root cause analysis for quality issues, my goal has always been the same: make the complex actionable.
Tailored for Purpose & Readability
Each document I created was customized to the audience and context — combining visual clarity, procedural logic, and compliance readiness. These deliverables helped teams work safer, smarter, and more consistently across production, engineering, and support roles.
Note: Due to proprietary content, most samples are not publicly shareable. However, I’m happy to discuss structure, formatting, and results upon request.
Why AI Doesn’t Ask Clarifying Questions
Tools Used: Language models, systems design analysis, human-centered reasoning
This article explores a subtle but critical behavior in current AI systems: their reluctance to ask follow-up questions. I explain how this emerges from training goals, completion bias, and UX tradeoffs — and why shifting these incentives could lead to smarter, safer, and more trustworthy AI.
It reflects my ability to write clearly about AI behavior, design intent, and system-level consequences — bridging technical insight and practical implications for product teams and users alike.
- Explains model behavior using clear analogies
- Connects LLM training dynamics to real-world UX
- Offers systems-level design insights for AI interaction
- Originally published on my blog, Effective Ink
Weather API Integration Guide
Tools Used: Python, OpenWeatherMap API, JSON, Requests Library
This tutorial demonstrates how to query real-time weather data using the OpenWeatherMap API and display it in a human-readable format. I created this sample to document the full integration lifecycle: from API key setup and endpoint testing to user interaction and result formatting.
The page was written to be beginner-friendly and suitable for reuse as a component in broader IoT or dashboard tools.
- Structured walkthrough with example output
- Cleanly formatted, commented code block
- Summary of how the request-response cycle works
Why AI Gets Things Wrong - And How to Fix It
Tools Used: Language models, systems design analysis, human-centered reasoning
If you’ve ever used ChatGPT or another AI tool and ended up with answers that sounded good, but turned out to be completely wrong, you’re not alone.
In this article, I break down five common mistakes users make — and how to avoid them. It’s not about learning to “discipline the AI,” but learning to use language more intentionally while avoiding the kinds of prompts that often trigger AI hallucinations.
Perfect for anyone who works with language models and wants answers they can actually trust
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