Teams at Greenway Health

Develop production-grade software using AI as a primary engineering partner. Convert requirements into prompts, implementation plans, and acceptance criteria; generate and validate AI-assisted solutions; identify hallucinations, security issues, logic gaps, and incorrect assumptions; create automated tests; and ensure architecture, performance, maintainability, documentation, and production readiness. Build reusable AI development workflows, collaborate across technical teams, document decisions, and help engineers adopt AI-native practices.

Develop production-grade software using AI as a primary engineering partner. Translate requirements into prompts, implementation plans, acceptance criteria, and AI-generated solutions; validate outputs for correctness, security, maintainability, and performance. Create automated tests, reusable prompt templates, documentation, and AI-native workflows. Collaborate with product, QA, DevOps, architecture, and security teams, while guiding engineers in adopting AI-assisted development practices.

Leads software development engineering strategy, SDLC transformation, architecture governance, cloud delivery, CI/CD, DevSecOps, quality practices, and responsible AI adoption. Oversees product development teams, establishes engineering standards, guides roadmap and technical trade-offs, improves delivery predictability, and develops high-performing leaders and teams. Uses AI-enabled insights for architecture reviews, technical debt management, risk analysis, quality reporting, documentation, and portfolio decisions.