10x AI Product Engineer

I help founders and engineering teams validate, architect, and build reliable Software with AI - from MVP roadmap to production-ready systems.

8+ years in Software Engineering, SDKs, architecture, AI harness integration, and production-grade software systems.

Book a 30-min call View selected work

What I help with

Focused technical support for founders and teams who need a clear path from product idea to reliable mobile software.

Mobile MVP Architecture

Stack choice, MVP scope, technical roadmap, App Store risks, release strategy.

AI Product Engineering

LLM integration, AI features, prompt/version control, evaluation loops, safety boundaries.

Software Harness & Evaluation

Testing, observability, regression checks, controlled AI behavior, production-readiness.

Technical Advisory

Architecture review, SDLC, AI coding workflows, validation plans, fractional technical guidance.

Selected work

Practical examples of mobile architecture, AI product engineering, SDK work, and early product planning.

Depop: Backend-Driven UI

Production iOS architecture work inside a mature marketplace app.

What I did

Designed the iOS backend-driven UI engine, schema contracts, validation, native fallbacks, and incremental rollout path.

What it proves

Ability to introduce flexible product infrastructure without sacrificing runtime safety or app quality.

Moby: AI Platform for Trading

AI-powered trading product moving toward cross-platform reach and faster iteration.

What I did

Led the Flutter rewrite across mobile and web, set the architecture, release foundations, payments, Firebase, and OpenAI feature integration.

What it proves

Product engineering leadership across mobile, AI features, release systems, and technical decision-making.

Confiant: Mobile SDK Engineering

Security SDK and core engineering work for real-time ad verification systems.

What I did

Worked on iOS and Android SDK integrations, package distribution, BDD coverage, BrowserStack testing, and production client support.

What it proves

Experience building reliable SDKs, test harnesses, and platform integrations used in production environments.

AI Mobile MVP Roadmap

Early-stage product validation and technical planning for AI-powered mobile products.

What I did

Clarify MVP scope, stack decisions, App Store constraints, LLM integration risks, evaluation needs, and prototype-to-production milestones.

What it proves

A practical path from idea to measurable product without overbuilding the first version.

Clients say it better.

01 / 03

“Nick explains complex things in a simple, practical way. You can feel that he has real experience building products, not just teaching theory. His feedback helped me stop overthinking and start making better decisions.”

Building tech product?

I can help you clarify the MVP scope, choose the right technical direction, identify mobile/App Store/AI risks, and define the path from prototype to production.

Book a 30-min call