Technical Account Manager and Solutions Architect at Ingram Micro.
I help customers architect and operate AWS workloads along with that I build the tools I wish existed for
personal use.
My day job is helping resellers and end customers architect and run AWS workloads — sizing them correctly, securing them properly, and keeping the bill defensible. A large part of the role is translation: taking a commercial requirement and returning an architecture someone can actually build.
Outside of it I write software that solves problems I have watched up close — most recently a desktop CRM for our internal sales team that integrates with Dynamics 365. I learn by building: Terraform, CDK, and a great many diagrams.
I am working toward all twelve active AWS certifications — the Golden Jacket — and always happy to talk cloud architecture.
Twelve active AWS certifications, held simultaneously.
AWS technical expertise for resellers and end customers — architectural design, cost optimisation, and translating commercial requirements into practical cloud solutions. I also deliver technical deep-dive sessions and AWS training that accelerate customer adoption.
Accelerated development and configuration of CPMS, the Contec Production Management System — designing workflows, integrating with PLCs, and ensuring reliable data flow across manufacturing systems.
Development and unit testing of the Easypost Connect platform — building robust React and TypeScript applications on AWS backends, with Nx and Jest maintaining code quality across components.
Open to Solutions Architect and Technical Account Manager roles, available for contract work, and happy to speak at your event.
A Windows desktop CRM for Ingram Micro Belux account managers. Every screen reads a local SQLite database, so the app is instant and fully usable offline; Dynamics 365 stays the system of record and syncs in the background.
Edits push to D365 the moment you make them and fall back to a pending queue when you are offline. Power BI ARR and net-sales data are pulled in through DAX queries and shown next to the account, alongside locally computed health scores, pipeline analytics and Excel export.
Iris, the built-in assistant, runs a bundled Ollama model on the machine itself — no customer data leaves the laptop — and answers questions by querying the local database through its own tools. Designed, built and shipped solo, outside my assigned role, and now in daily internal use.
You talk to an assistant rather than filling in a form: it asks clarifying questions, sketches the design back to you, and only starts the pipeline once you approve the proposal. Every component reads and writes the same canonical Architecture JSON, so the diagram, the review and the costing all trace back to one source of truth.
The parts that must be reliable have no model in them. Diagrams are drawn deterministically with official AWS icons — same input, byte-identical output — the Well-Architected verdicts come from 60 coded rules with the LLM only writing remediation prose, cost comes from the live AWS Pricing API, and CloudFormation import is a hand-written walker. Bedrock is used where judgement is genuinely needed and nowhere else.
Serverless throughout, six CDK stacks: Step Functions orchestration, 24 Lambdas, DynamoDB single-table, WebSocket streaming, Stripe billing, EU-only inference for GDPR. Built to answer the question I am asked most often at work.
A native iPad reader for the library on my home NAS. It downloads in the background, works fully offline, and scrolls long vertical chapters without a visible seam between images.
SwiftUI for the interface, SwiftData for the local library, UIKit where scroll performance demanded it, and Nuke for the image pipeline.
Built purely for myself and never submitted to the App Store — a place to keep my Swift sharp while solving an annoyance.