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benbahrenburg/README.md

Hi, I'm Ben Bahrenburg

CTO/CxO-level tech + product leader | Global Mobility (Tax & Immigration) | AI platforms, integrations, and developer experience

GitHub · Blog · LinkedIn


What I’m working on

  • AI in Global Mobility: Using AI to elevate assignee experience and give clients contextual program insights (benchmarks, risk signals, ROI) across Tax, Immigration, Business Travel, Remote Work, Payroll, and Equity.
  • Partner Ecosystem & Integrations: Building a marketplace-style model for rapid, productized integrations and cleaner data exchange.
  • Developer Experience: Clear docs, reusable components, and “golden” data patterns so teams ship faster with higher quality.

I like shipping pragmatic, outcome-driven products—measurable adoption, faster time-to-value, and durable technical foundations.


Selected Writing & Speaking

  • bencoding.com – Posts focused on Engineering, AI, Strategy, and Product Leadership.
  • Frequent presenter on enterprise architecture, integrations, AI strategy, and product operating models.

Principles I build with

  • Clarity beats cleverness: clear models, clear interfaces, clear narratives.
  • Measure what matters: adoption, time-to-value, risk reduction, and cost-to-serve.
  • Platform thinking: reusable components + stable contracts = compounding velocity.
  • AI with guardrails: responsible use, explainability, and real-world gains.

Tech & Tools

Languages: TypeScript/JS, Python, Swift, Kotlin/Java
Data/AI: APIs + embeddings, retrieval patterns, dashboards/benchmarks
Platforms: Cloud-native services, ServiceNow, mobility tech stacks
DX: Docs-as-code, reusable modules, integration templates, CI/CD


Get in touch

  • 💬 I’m open to collaborating on OSS, practical AI patterns, developer tooling, and integration frameworks.
  • 📨 Best way to reach me: GitHub issues/DMs or LinkedIn.

Fun throwbacks
  • I once maintained several popular Titanium modules used across many production apps and was a Titanium core committer.
  • I still enjoy solving system problems at enterprise scale.

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