About · Plan · Prepare · Test · Ship · Handoff
Backend-focused software engineering with a product management mindset, sharpened over years building Python APIs, Node services, React frontends, and cloud infrastructure. The difference from most shops: you get the full environment, not just the application.
That means CI/CD (Continuous Integration/Continuous Deployment) pipelines, staging and production environments, monitoring, automated tests, secrets management, and architecture documentation. By handoff, you have a system a dev shop can pick up immediately, or that your first engineering hire can contribute to in week one.
AI development tools are core to the workflow, built for moving faster, catching more edge cases, writing better tests, and producing cleaner documentation than a traditional shop at the same price. For small businesses and early-stage teams that need speed and quality at the same time.
AI-native features get built when the product calls for it: RAG (Retrieval-Augmented Generation) pipelines that query your own data, LLM-powered workflows wired into your backend, semantic search, AI chat experiences connected to something real. If AI is central to your product idea, the full system gets architected and built.
The development philosophy is simple: Plan. Prepare. Test. Ship. Handoff. Architecture is settled and the CI/CD pipeline is in place before a feature gets written. Everything is tested before it ships. The project is done when the code is documented and a new engineer can work in it without anyone else in the room.
Roles beyond just engineering: sprint planning, stakeholder communication, technical roadmapping. Equally comfortable in a room with founders and designers as with other developers, from being "the technical team" enough times to know how to make that work for everyone involved.
The best fit is a small business or early-stage company making its first real technical build. Typically you have an idea, maybe some design mocks or a Figma file, and need someone who can take it to production. At the end, you hand it off to a larger dev shop to keep building, or bring on your first engineering hire. Either way, what you get is a codebase and environment your team can work in from day one.
This isn't the right fit if you want someone to execute a rigid spec without questioning it, or a pure contractor relationship. It's a better fit if you want a technical partner: one that pushes back when something doesn't make sense, proposes the architecture, manages the delivery, and hands off something your next team lead will actually respect.