About
Sam is currently an Analysis Manager at Zeno Power. She has extensive engineering experience in modeling/simulating, researching and designing, and testing multi-phase thermo-fluid systems in satellite payloads and components (space industry), energy recovery devices (HVAC industry), oil wells (gas industry), turbomachinery (aerospace industry), and other aerospace applications.
In the past, she was a technical writer and content strategist with a strong foundation in data science and engineering. Her background in data analysis, mathematical modeling, and automation tools gives her an extra edge when it comes to understanding complex technical systems and products. She can quickly grasp intricate details with minimal ramp-up time, ensuring her clients don’t have to over-explain.
Sam has helped organizations modernize decades of technical documentation, build consumer-friendly websites from dense product data, and create content that demonstrates technical expertise and thought leadership. Clients praise her ability to navigate cluttered technical documents, extract the essentials, and deliver clear, accurate, and user-focused content.
Whether documenting software, simplifying engineering concepts, or producing high-quality content for high-tech companies, Sam combines analytical rigor with strong communication and project management skills. She’s trusted by teams who need both technical depth and clarity delivered with professionalism.
Here are a few insights from Sam’s recent blog:
How can we balance author flexibility with consistent taxonomy to avoid “tag chaos” in technical content?
Standardizing a core taxonomy while allowing limited custom tags for teams helps maintain both flexibility and findability.
What governance rules are needed in a CCMS to keep taxonomy clean and manageable over time?
Regular governance reviews and clear rules for creating or retiring tags prevent taxonomy bloat in a CCMS.
How can we design taxonomies that work equally well for internal writers and external stakeholders?
Designing taxonomies around shared user tasks and agreed metadata fields ensures they support both internal writers and external stakeholders.
