About Me
Staff Technical Writer and developer tooling engineer specializing in AI knowledge systems. Documented foundational LLMs for Google Search and engineered internal platforms utilized by 10,000+ Googlers, scaling AI-assisted development workflows across the enterprise.
Core Specializations
Awards & Patents
Key Recognition
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Google Tech Impact AwardGoogle-wide engineering honor recognizing high-leverage architectural impact, platform simplification, and large-scale user adoption across internal developer tooling.
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Gold Sweety AwardGoogle's highest peer-nominated engineering honor for AI innovation within the Software Engineering (SWE) discipline.
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Silver Swifty AwardGoogle cross-functional impact award recognizing significant AI engineering contributions and velocity acceleration across non-SWE disciplines.
US Patents (Microsoft)
- Storage of Captured Sensitive Data With Bypass of Local Storage US 9,736,139
- Localized Layout and Routing in an Interactive Diagramming System US 8,543,944
- User Augmented Reverse Engineering US 8,954,925
- Creation, Editing and Navigation of Diagrams US App 12/972,060
- Highlighting Changes on Computer Diagrams US 9,110,763
Career Experience
Staff Technical Writer, Core AI Systems
- Architected and shipped an internal AI community platform to 10,000+ Googlers (2,500 MAU). Operated as a solo full-stack engineer utilizing LLM workflows to deploy 1,000+ commits in 7 months before graduating the platform to a dedicated product team.
- Pioneered structured context engineering for enterprise LLM workflows, establishing modular management methodologies that eliminated architectural drift across hundreds of automated coding sessions.
- Built production-grade operational tooling: Engineered rollout controls, staged access gating, and real-time health monitoring to manage platform operations reliably at scale.
- AI Community Builder: Founded and grew an internal developer community around AI-assisted development, knowledge sharing, and cross-team collaboration.
Staff Technical Writer, Core Developer
- Led Internal Developer Relations: Oversaw technical content, events, and education across Google developer services.
- Built and shipped a grounded AI chat interface delivered to over 100 internal doc sites at Google — a pioneering knowledge delivery system where the AI was grounded in each site's own documentation, delivering contextually accurate answers.
Staff Technical Writer, Search
- Documented the Large Language Models (LLMs) driving AI in Google Search, including MUM (Multitask Unified Model).
Staff Technical Writer, Cloud
- Cloud Spanner Documentation Lead: Documented 10+ major features including Foreign Keys, Query Optimizer, Introspection Tools, and Spanner SQL.
Senior Engineering & Content Development Manager
Leveraged 15 years of enterprise engineering experience at Microsoft to deliver scalable software solutions, manage high-impact developer advocacy teams, and author mission-critical documentation.
- Azure Platform Evangelism: Created Azure Developer technical courses on Microsoft Learn.
- Worldwide Learning: Created edX courses with 10,000+ students and an NSAT of 142.
- Developer Advocacy: Led engineering of Microsoft Graph SDKs across iOS, Android, .NET, and Web.
- Office Add-ins: Led development of 50+ GitHub code samples for Microsoft Graph and Office.
- Windows Phone: Published 8 apps with 1.5M+ downloads.
- Visual Studio: Built ALM tools, UML, and Architecture Explorer for Visual Studio Ultimate.
Earlier Experience
Prior to 2006, held leadership and senior development roles including Founder/CTO (3TL), Development Manager (Pioneer Investments, Ericsson), and Senior Software Developer (Siemens).
Education
M.Eng. Electronic Systems
B.Eng. Electronic Engineering
Writing & Articles
Beyond Vibe-Coding: 5 Lessons from Shipping an AI App to 10,000 Googlers
Moving past AI 'vibe coding' toward rigorous systems architecture and sustainable engineering.
The Unexpected Tool I Use to Organize My AI Prompts
Turning secure password vaults into instant, cross-device searchable prompt libraries.
AI In Real Life (IRL): Practical Multimodal Problem Solving
Case study exploring everyday computer vision and Circle to Search for real-world DIY repair.
Let's Connect
Let's chat about AI documentation, developer education, and documentation engineering.