AI-native senior engineering for cloud and web
I help teams move from idea, backlog, or stuck implementation to production-ready software. The work is practical, architecture, prototypes, integrations, performance, and hands-on delivery.
Currently weighing consulting engagements and senior engineering or tech leadership roles. Reach out either way. Eastern Time, flexible availability.
// What I bring to the table
export const consulting = {
openTo: ["consulting", "full-time", "tech leadership"],
approach: "AI-native, in workflow and architecture",
experience: "17+ years shipping production web platforms",
mostRecent: "Web Tech Lead, WebFirst (gov + AI)",
timezone: "America/New_York",
schedule: "flexible, weekdays + weekends",
modes: ["architecture review", "MVP", "rescue", "impl"],
stack: ["AI/RAG", "MCP", "AWS + Cloudflare", "Next.js", "Drupal"],
startsIn: "1 to 2 weeks",
};
➜$ contact --email davo20019@gmail.com
✓ ready to talk
AI-native engineer. 17+ years of production judgment, multiplied by agents I drive through every step of delivery.
Most recently Web Tech Lead at WebFirst, where I built security-focused government and AI platforms. Previously Director of Web Development and Solutions Architect at New Target, leading global teams of 10+ engineers across enterprise Drupal, WordPress, and Next.js delivery.
17+
Years building production web platforms
10+
Engineers led across three continents
AI-native
Workflow and architecture, not bolted on
Gov
Security-focused public-sector delivery
AI-native by default
AI-native means I keep agents in my engineering workflow across scoping, design, code, review, and ship. 17+ years of production work decides what to build, what to skip, and what to ship. Speed is a side effect, not the product.
Every architectural call, every PR, every deploy is mine. AI is a tool I use, not a stand-in for the work or the experience behind it.
I use AI throughout scoping, design, code, and review. Where it adds value I lean in. Where it does not, I do the work myself.
Same standards as hand-written code. Tests, observability, accessibility, and rollback paths included by default.
A sampling of side-project work that mirrors the kind of help I can offer.
RAG · Cloudflare · D1
Nightly scrapes 11 government and nonprofit sources, then uses Llama 3.1 to extract structured opportunities. Built as a Cloudflare Workers monorepo with Hono, React Router, and D1.
Read moreMCP · Drupal · Tooling
An MCP server that exposes Drupal site state to AI agents. Useful for module inspection, content audits, and architecture reviews without leaving the editor.
Read moreNext.js · i18n · SEO
Multilingual SEO audit covering hreflang, canonical handling, and crawl-budget fixes for a Next.js App Router site shipping in 8 languages.
Read moreThese are the areas where I contribute quickly without a long ramp-up. Each card lists the concrete outcomes you can expect.
Add LLM features to existing products with tool use, structured outputs, prompt workflows, and cost-aware model routing.
Design retrieval pipelines that connect documents, databases, embeddings, vector stores, and application UX.
Build agent workflows that call tools, inspect data, coordinate steps, and expose useful capabilities through MCP.
Plan and ship production applications across AWS, Cloudflare, Vercel, and edge platforms. Workers and Durable Objects when edge fits. Lambda, S3, and managed services when it does not. Match the platform to the workload, not the other way around.
Build or improve App Router projects with TypeScript, i18n, API routes, static generation, and Cloudflare deployment.
Modernize legacy CMS work with custom modules, integrations, search, migration planning, and performance improvements.
Pick the engagement that matches where you are. With agents in my workflow, most engagements land in a fraction of the traditional timeline. Scope is written down before any work starts.
A focused review of an app, AI workflow, deployment, or technical plan. With agents in the loop, I turn multi-week reviews into a same-week deliverable without losing depth.
A working build that proves the integration, workflow, or user experience. I use agents to compress scaffolding and boilerplate into days, then drive the parts that need senior judgment.
Hands-on development for a defined feature, integration, migration, or performance improvement. Most defined work lands in a fraction of the traditional timeline. Tests, reviews, and rollback paths included.
Help with broken deployments, slow apps, brittle AI features, or unclear technical direction. I use agents to surface root causes fast, then drive the fix and the guardrails.
Async-first, written down, and visible from day one. I keep agents in the loop, but every step that needs senior judgment stays mine.
We clarify the problem, constraints, timeline, and what success should look like. I use agents in discovery to cover ground that used to take a week of meetings.
Soon after scoping, you have a written plan with risks, assumptions, and a clean first milestone.
I execute in small increments. Daily written updates and Loom walkthroughs so progress stays visible without sync meetings.
Code, documentation, and a written handoff so your team can keep going without me.
If your question is not here, the fastest answer is a 30-minute call.
Book a 30-minute Strategy CallSend a note or book a short call. A focused conversation is usually enough to see whether there is a fit on consulting or a full-time role.