Product Engineering

End-to-end product engineering across frontend, backend, data, APIs, integrations, workflows, and infrastructure - built around the product problem, not around a spec.

I treat development as product engineering rather than isolated implementation: understand the underlying problem, make sound technical decisions, deliver a coherent user experience, and ship software that can be operated, measured, and improved.

What you get

• Production-ready web applications and SaaS platforms
• Domain modeling, APIs, and data architecture that stay coherent as requirements change
• Responsive, accessible interfaces built on a consistent design system
• Auth, multi-tenancy, billing, payment, integrations, and webhooks
• Background jobs, queues, and asynchronous workflows
• Tests, error handling, observability, and deployment pipelines
• AI features integrated and operated as part of the product

How I work

1. Shape - smallest useful version; clarify edge cases and success criteria early.
2. Build - full-stack implementation, with decisions matched to the product's stage and constraints.
3. Harden - testing, security, performance, and production readiness throughout, not as a final step.
4. Evolve - refactoring, modernization, and legacy integration as the product grows.

When this fits

• Building a new product from concept to production
• An MVP for market validation
• Taking a prototype through a production-readiness phase
• Extending an existing SaaS platform
• Modernizing a legacy application or fragile codebase
• Senior technical ownership for a product area

Typical stack

TypeScript, React, Next.js, Node.js, NestJS, Laravel, Vite, PostgreSQL, Bun, Kubernetes, and modern AI application frameworks - selected per project, never applied by default.

Outcome: software that solves the actual product problem, serves its users well, survives real operational demands, and stays maintainable as the business grows.