Freelance and fractional product engineering across AI workflows, SaaS platforms, internal tools, integrations, CI/CD, and production-ready automation.
For freelance, fractional, or embedded work: I turn unclear product and workflow problems into shipped systems using agent-assisted delivery with human review and production control.
Map your process, identify where AI or automation will actually help, and leave with a prioritized build plan plus quick wins.
Define the outcome, decompose the build, direct agents, review output, test, deploy, and demo progress every week.
Ongoing ownership of roadmap, architecture, delivery, vendors, agents, releases, and production quality without hiring a full team.
Useful for founders, operators, and teams that need AI-enabled software shipped without managing a large dev process.
What I ship most often, based on the products, workflows, and automations I've already built.
Turn business requirements into specs, interfaces, workflows, data models, and deployable systems.
Use agents to accelerate implementation while retaining ownership of architecture, review, testing, and release quality.
Full-stack product builds with clear specs, multi-tenant data models, integrations, and production deployment paths.
Make sure AI-assisted output becomes production-grade software, not unreviewed generated code.
Design the internal platform that turns product intent into agent-executable specs, code, tests, reviews, and deployable work.
Own architecture, standards, agent/human boundaries, delivery governance, and production readiness.
The useful skill is not memorised syntax. It is architecture, decomposition, review, testing, and safe shipping.
Clarify the product goal, users, data model, integrations, constraints, and failure modes before implementation begins.
Break the work into safe, testable slices with acceptance criteria, review gates, and a clear human/agent responsibility split.
Use agents to accelerate implementation while I own architecture, prompting, context, code review, debugging, and quality control.
Test, inspect, deploy, observe, and roll back when needed so generated output becomes production-grade software.
Not vanity metrics — actual results from recent engagements.
Support response time after mapping flows and automating routing
Mobile MVP with payments, auth, and notifications — scoped in week one
Manual CRM updates replaced with a single automated flow
Mapped support and onboarding, removed double entry, wired automation. Customers heard back faster without adding headcount.
Defined must-have experience, built Flutter app + backend, launched with payments and push notifications ready.
"We cut response times from days to hours without hiring. Weekly updates were plain English and the work just got done."
"Launched faster than any previous build. Clear acceptance, weekly demos, and no surprises on cost."
"We went from chaotic handoffs to reliable delivery windows. Weekly demos and crisp acceptance criteria kept the team aligned."
"We launched without surprises. Clean SOW, transparent tradeoffs, and documented handoff made it easy to keep momentum."
No. I position as an agent-native technical builder: strongest at architecture, product logic, system design, prompting agents, reviewing code, debugging, deployment, and turning business requirements into working software.
Agents accelerate implementation, but I do not blindly accept output. I own requirements, decomposition, architecture, code review, tests, deployment, and production readiness.
AI workflows, SaaS platforms, internal tools, CRM and operations automation, dashboards, integrations, RAG/vector workflows, and production-ready prototypes.
The difference is control: I understand databases, APIs, auth, queues, storage, state, security, deployment, and product trade-offs well enough to know when generated output is wrong.
A few things I've shipped recently
Conversion-first studio website for rapid MVP delivery
Astro · Stripe · Cloudflare
Multi-tenant artist platform with bookings and music commerce
Astro · D1 · R2 · Stripe
Multi-tenant SaaS for NGOs and funders to manage social impact programs
React · Cloudflare Workers · D1
Computer-vision workout coach with presence detection, voice prompts, and live rep tracking
React · MediaPipe · CapacitorBook a 15-minute call. We will map the workflow, decide what should be built by humans versus agents, and identify the fastest safe path to production.