Experience
10+ years
shipping production software across product, platform, and delivery work
Senior software engineer and AI automation engineer
I build production systems, backend workflows, and applied AI tooling that hold up in real operations.
I work across product engineering, backend systems, architecture, infrastructure, workflow automation, and AI-assisted tooling. The throughline is simple: make the system clearer, more reliable, and easier to operate under real conditions.
Proof bar
Role
Senior software engineer
hands-on across frontend, backend, architecture, and delivery systems
Core stack
TypeScript, Node.js, React, PostgreSQL, AWS
plus automation tooling, CI/CD, and applied AI workflow support
Focus
Architecture, backend, infra, automation, applied AI
systems that stay operable under real delivery pressure
Current work
Dumadine is a hospitality operating system built around live service, stock movement, and downstream automation.
Dumadine connects ordering, kitchen flow, inventory movement, accounting behavior, and operator visibility in one system. That matters because automation, reporting, and AI support are only credible when they attach to coherent operational truth.
- Multi-tenant product architecture across ordering, kitchen, stock, and venue management flows.
- Backend and data design that preserve domain boundaries while supporting real-time coordination.
- System shape built to support reporting, operational summaries, and downstream automation from actual product state.
Working stack
The stack I use across product delivery, backend systems, infrastructure, automation, and applied AI.
TypeScript, Node.js, React, PostgreSQL, cloud infrastructure, workflow tooling, and observability form the core of the work.
Core application stack
- TypeScript
- Node.js
- React
- Astro
- Next.js
Backend and data
- PostgreSQL
- Drizzle
- Prisma
- WebSockets
- Event-driven flows
Infrastructure and delivery
- AWS
- Azure
- Docker
- Terraform
- GitHub Actions
- CI/CD
Automation and integrations
- n8n
- Make
- Zapier
- Webhooks
- Linear
- Slack
Applied AI workflow
- OpenAI / ChatGPT
- Codex
- Cursor
- Structured outputs
- Summaries, routing, review support
Production systems
Backend architecture, APIs, data flow, and state boundaries that can survive real operational load.
Infrastructure and reliability
AWS, delivery workflows, environment discipline, observability, and failure-aware implementation.
Automation and orchestration
Webhooks, event-driven workflows, n8n / Make / Zapier, and downstream actions tied to system truth.
Applied AI inside operations
Summaries, routing, synthesis, and engineering support workflows grounded in real system context.
Automation and AI
AI and automation show up here as working systems, engineering acceleration, and operational support.
The important split is between internal engineering leverage and shipped product workflows. Both matter, but they are not the same thing, and I treat them differently.
Scope
My work sits at the intersection of product engineering, systems design, and delivery.
I work best on products that need stronger structure, clearer operational behavior, and systems that can keep evolving without turning brittle.
- Product work: operations, planning, analytics, and modernization projects
- System design: backend structure, data flow, automation, and observability
- Delivery: scoped execution, verification, and hands-on engineering ownership