End-to-end ownership
Product definition, architecture, frontend, backend, data, cloud delivery, and production verification.
Staff-Level AI-Native Software Engineer
I design and ship production platforms end to end, with a focus on governed agentic engineering systems.
I translate product intent into implemented, verified, and deployed software. The work combines 10+ years of conventional product and platform engineering with structured agent execution, closed-loop verification, and explicit human accountability.
Engineering scope
Product ownership, platform architecture, and delivery discipline in one hands-on engineering role.
Agentic engineering systems
Repository-grounded agents that investigate, implement, verify, retry within bounds, and escalate when judgment is required.
Production foundations
Strong full-stack, multi-tenant, offline-first, cloud, testing, observability, and release-engineering practice.
Anchor case study
Ordr.now
Founder & CTO | Staff AI-Native Software Engineer
A multi-tenant hospitality platform spanning offline-first point of sale, ordering, kitchen operations, inventory, synchronization, and cloud delivery. I own the product and technical system end to end.
Technical foundation
AI-native delivery is credible only when the underlying software engineering is strong.
- TypeScript
- React and Next.js
- Node.js
- PostgreSQL
- Multi-tenant SaaS
- Offline-first systems
- AWS and Azure
- Automated QA
- Observability
- Production delivery
Latest note
Inside the Ordr.now Agentic Engineering Loop
A concrete account of how Ordr.now turns product signals into isolated, verified changes across its API, PostgreSQL, offline-first mobile runtime, venue devices, and production boundaries.
16 min read
Read the note AI-native engineering
Governed autonomy, not unrestricted automation.
Deterministic systems where correctness is required, AI where interpretation adds value, and humans where judgment and accountability remain necessary.
Read the operating modelAvailability
Staff-level roles and selective consulting.
Open to staff-level AI-native product engineering and platform engineering roles, as well as selective consulting engagements.
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