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Product systems · AI-native delivery

Senior Software Engineer · AI-Native Product Development

I turn business goals into product systems that ship—combining stakeholder communication, end-to-end product engineering, backend systems, AI-native delivery, system architecture, and deep frontend experience.

Selected work, ordered by evidence.

Six systems showing the result, the product or operational capability, and my role in the work.

ETERIA outdoor celebration table styled with blue textiles, ivory flowers, and layered place settings
Client project · In production

Product direction, full-stack delivery, operations, release

ETERIA

A production event-business system connecting a public landing, lead capture, proposals, private operations, and an internal SwiftUI client.

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Project in viewETERIAClient project · In production

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Result
A production event-business system connecting a public landing, lead capture, proposals, private operations, and an internal SwiftUI client.
System
Public landing
My role
Product direction, full-stack delivery, operations, release

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Practice

How I work and contribute.

I connect product judgment, architecture, implementation, and accountable delivery across complete systems, focused team workstreams, and modernization already in motion.

01

Product systems

Shape the product idea, interface, workflows, data, and operating model into one coherent experience.

02

Architecture & modernization

Evolve an existing system with clearer boundaries, modern capabilities, and room for the product to grow.

03

Delivery acceleration

Combine advanced AI workflows, previews, quality gates, observability, and cloud operations into everyday delivery.

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Architecture

Business goals become production systems.

The work starts with intent and domain clarity, moves through product and architecture decisions, and reaches production through implementation, verification, and explicit release authority.

Architecture
01

Business communication

Stakeholder conversations, goals, constraints, and domain models define what the system must make possible.

02

End-to-end product engineering

Product decisions connect experience, frontend depth, data, workflows, and operating needs into one coherent system.

03

Backend systems

APIs, auth, business rules, data ownership, and operational workflows make the product reliable beyond its interface.

04

AI-native delivery

Agents execute across the lifecycle; tests, review, browser QA, preview, and human release accountability keep the work trustworthy.

05

System architecture

Clear boundaries, observability, release paths, and operational surfaces let the product evolve without losing accountability.

Start with the context.

Share the product, role, system, or technical question you want to move forward. I will read the context myself and reply with useful questions and a practical next step.