John Boen

About

I do AI. I have had the opportunity to spend much of the last two years developing my skills.The AI work I do is informed by three decades spent building, shaping, diagnosing, and repairing the data systems that organizations rely on, from high-performance databases and ETL pipelines to large-scale analytics platforms and AI-ready datasets. My career began at The Boeing Company, where I learned the discipline of change management, engineering rigor, documentation standards, and cross-team coordination required to support complex aerospace systems. I was introduced to Continuous Quality Improvement, which became the perfect baseline for future Agile SDLCs. That foundation shaped the way I approach every problem: understand the system, understand the constraints, design for reliability, and own the details. Since then, I’ve worked across the entire software development lifecycle, focusing on data systems. I’ve designed schemas for business-critical systems; solved production bottlenecks involving locking, late data, indexing, and query plans; and delivered large data migrations and reporting upgrades. I’ve built operational pipelines that power reporting, analytics, ML feature stores, and customer-facing products. I’ve implemented governance practices aligned with GDPR, HIPAA, and internal organizational requirements, defining access boundaries, retention rules, archival strategies, and data-quality controls that keep systems safe, compliant, and auditable.My recent work as an Engineer on Google’s Core ML team brought together all of these skills. I owned data architecture that fed internal ML systems, created schemas and workflows for modeling processes, built validation checks to protect downstream consumers, created reporting and dashboards, and collaborated with researchers and software engineers to ensure data was clean, well-structured, and trustworthy. It reinforced the principle that data quality is ML quality—and that the best AI systems begin with disciplined engineering.I’m a long-time builder of client-server applications, an advocate of Agile processes, and an engineer who lives at the intersection of databases, distributed systems, applied machine learning, and AI integration. Across roles and industries, my focus has been consistent: build the systems that turn raw information into reliable insight, and design data foundations that make everything else—software, analytics, automation, and AI—stronger, safer, and more useful.I make data trustworthy, understandable, and ready for action.And now I am doing it with AI.

Company history

1. 
   RIPL corpDatabase architect2007-08 – 2008-10 · 1y 2mo
2. D
   Demand MediaSr database enginer2009-06 – 2014-09 · 5y 3mo
3. 
   RecordPointGTM Engineer/ AI Engineer.2026-06 – present · 2 mo
4. 
   MicrosoftDatabase Engineer/Manager1995 – 2004-08 · 9y 7mo
5. 
   Getty ImagesSr Database Engineer2004-11 – 2007-08 · 2y 9mo
6. 
   Google CrowdsourceData Engineer2022-07 – 2023-12 · 1y 5mo
7. M
   Maxsam PartnersSr Database Engineer2008-11 – 2009-04 · 5 mo
8. 
   VirtuosoSenior Database Engineer2014-09 – 2020-02 · 5y 5mo

Skills

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