Senior Engineering
Consultant
& Team Lead

I partner with product teams and founders to architect scalable backend systems, lead delivery, and build cloud-native platforms that grow with your business. 13+ years of distributed systems expertise — now expanding into Agentic AI and MCP tooling.

What I bring to your table

13+ Yrs. Exp.
M+ Users Scaled
IC→ Architect
Azure C# / .NET Node.js TypeScript Python Microservices Docker Scrum / SAFe Agentic AI MCP

What I Can Do For You

System Architecture

Design and review of distributed microservices platforms — from greenfield architecture to legacy modernisation. I'll make sure your system scales before it has to.

Cloud-Native Delivery

End-to-end Azure cloud infrastructure — App Services, Container Apps, Functions, API Management, Cosmos DB — designed production-ready from day one.

High-Throughput APIs

Engineering performant REST APIs and third-party integrations built to hold up under real load. I've shipped systems serving millions of concurrent users.

Team Lead & Scrum Delivery

I can embed as a hands-on tech lead or run your full Scrum cycle — sprint planning, backlog refinement, standups, retrospectives, and stakeholder reporting — while still writing code.

Observability & SRE

Building reliability into your platform through Grafana dashboards, Loki log aggregation, alerting pipelines, and runbooks that actually reduce incidents.

Agentic AI & MCP

Helping teams design and integrate agentic AI systems — LLM-powered backends, Model Context Protocol (MCP) server architecture, tool-use orchestration, and AI workflow automation.

How I Work

Discovery & Scoping

We start with a focused session to understand your system, your team, and the problems you're actually trying to solve — not just the ones on the surface.

Architecture & Planning

I produce clear architecture proposals, technical roadmaps, and delivery plans with realistic scope. No hand-wavy diagrams — decisions you can build on immediately.

Embedded Delivery

I join your team in-sprint, write production code, run Scrum ceremonies, and mentor engineers as we ship together. Async-first, remote-comfortable, across time zones.

Handoff & Continuity

Every engagement ends with thorough documentation, knowledge transfer, and a system your team owns confidently — not a black box only I can maintain.

Selected Projects

Live

Meridian Gateway

AI infrastructure for engineering teams

Meridian sits between your teams and the AI models they use — giving you control over who can access AI, what they can spend, and what happens when something goes wrong. Built for organisations where AI is becoming critical infrastructure, not just an experiment.

TypeScript Fastify 5 PostgreSQL Redis Next.js 15 Docker OpenAI Anthropic
Discuss this project →
Admin Dashboard · last 30 days
7d 30d 90d
Total Requests 2,015 last 30 days
Total Cost $47.97 last 30 days
Cache Hit Rate 25.5% saving $12.21 / 30d
Active Tenants 6 All within budget

Recent Requests

Acme Corp · Claude Opus 4 anthropic MISS 200
Gamma AI · Claude Opus 4 anthropic MISS 200
Beta Labs · Claude Haiku 3.5 anthropic HIT 200
Acme Corp · GPT-4o openai MISS 200

Provider Health

OpenAI CLOSED
Anthropic CLOSED
Gateway operational · v1.0.0

Zero Disruption

Change one URL. Any app already calling OpenAI works immediately — no new SDKs, no code changes, no migration project.

Per-Team Budgets

Each team gets a monthly spend limit. Alerts at threshold, clean rejection at cap — no more surprise invoices from a runaway integration.

Automatic Failover

Meridian watches provider health continuously. When OpenAI has an outage, traffic routes to Anthropic automatically — no human intervention needed.

Isolated API Keys

Every team gets its own key, revocable in seconds. One compromised credential affects nothing else. Provider keys never leave the gateway.

Smart Caching

Exact and semantic caching returns repeated answers in under 30ms with no provider call. Typical teams save 20–40% on AI spend through caching alone.

Full Audit Log

Every request recorded: team, model, cost, latency, cache result. Queryable by tenant and date range — ready for compliance reviews and finance attribution.

< 50ms Added latency
< 30ms Cached responses
20–40% Typical cost reduction
99.9% Availability target
< 2 hrs Time to deploy

Technologies & Tools

Languages

C# .NET / ASP.NET Node.js TypeScript JavaScript Python

Cloud & Infrastructure

Azure App Services Azure Functions Container Apps API Management Cosmos DB

Data

MongoDB SQL Server Redis

DevOps & Observability

Docker GitHub Actions CI/CD Grafana Loki

Architecture & Delivery

Microservices REST APIs Event-Driven Design Scrum SAFe Agile

Agentic AI — Active Exploration

MCP (Model Context Protocol) Agentic Systems LLM Integration AI Tool Orchestration AI Workflow Automation

Ready to work with
someone who
actually ships?

Whether you need an architect to design your next platform, a tech lead to run your delivery, or an engineering partner to help you move faster with AI — I'd love to hear about your project. Based in Las Vegas, NV. Available remotely, worldwide.