Requirements into architecture
Turning what the business actually needs into a design a delivery team can build, with the trade-offs written down.
discovery · non-functional requirements · design documentation · decision records
Available now for remote - on-site at 30 days' notice
I turn business requirements into architecture that survives real load, real failure and real delivery teams - and I still build it myself.
Expertise
Turning what the business actually needs into a design a delivery team can build, with the trade-offs written down.
discovery · non-functional requirements · design documentation · decision records
Making separate systems agree, and keep agreeing when one of them misbehaves.
canonical data models · system-of-record ownership · contracts & versioning
Sizing a system for the load it will actually see, and for what it will cost to run at that load.
capacity planning · throughput & latency budgets · cost modelling
Deciding what the system does when something upstream breaks, and making that visible to the people who run it.
idempotency · retry & replay · graceful degradation · reconciliation
Getting AI into production without creating a governance problem: what the model may see, who signs off before output reaches a customer, and what it costs to run at volume.
data boundaries · human review gates · validated output · auditability · cost control
Least privilege, data classification and auditability, taken through formal review rather than bolted on after.
access control · data residency · audit trails · compliance review
On platforms: AWS, Azure and Google Cloud, and an AWS Certified Solutions Architect. But the platform is a procurement decision. The architecture is the part that has to be right: the shape of the design, the failure modes, and what it costs to run in three years.
Selected work
Thirty-plus production platforms across sixteen years. Most live inside client estates I cannot publish, so these are two I own outright - where I can walk through the architecture and the reasoning behind it, rather than just name the outcome.
AI assessment platform · live with paying users
Three paid AI products on one platform. Payments run as an event-driven pipeline with idempotent handling, so a duplicate message cannot double-charge or double-issue. Every AI response is validated against a schema before a customer can see it.
Multi-tenant AI receptionist · runs unattended
Answers the call, books the slot, runs the follow-up. Voice, chat and email share one knowledge base and one follow-up engine, so an opt-out on any channel stops them all.
The rest - enterprise integration, ERP and platform work for clients across the US, Europe and the Middle East - sits under client confidentiality. Happy to walk through any of it on a call.
How I think
There is rarely a best option, only the one that fits the constraint you actually have. My job is to choose it deliberately, write down why, and leave enough of a trail that the next person can revisit the decision when the constraint changes. A worked example:
References
“Adnan has been the driving force behind our entire technical architecture. He designed our systems and the integrations that hold them together, then built what he envisioned. Our platform expanded significantly without ever needing a ground-up rebuild.”
Curt Thiel · US client since 2015 Verify on LinkedIn ↗
“Strong technical skills and work ethic. He goes out of his way to find and recommend solutions and takes initiative in everything he is tasked with. I would definitely hire Adnan again.”
Ovi Sandu · Founder, ManageQuick.com Verify on LinkedIn ↗
Get in touch
I take Solutions Architect and Enterprise Architect work as a permanent hire or on a consulting engagement, remote or on-site. I already work across US, European and Middle Eastern time zones, remote engagements can start immediately, and I deploy to client site on 30 days' notice at my own cost.
Tell me what you're building, or what isn't working. I reply to everything within two working days.