Software architecture
Service boundaries, data contracts, and delivery models for systems that must scale and stay operable. Java / Spring, Python, Angular, microservices, and event-driven designs — including Kafka-backed pipelines.
Software architecture studio · Wyoming, USA
Cognitive Quantum designs production software for teams that cannot afford theatre: national tax platforms, marketplace APIs, agentic AI, and products we operate ourselves. We architect it, ship it, and stay after launch.
Who we are
Most of our careers were spent inside demanding production environments — national taxation systems for PRAL / FBR, clinical software, marketplaces, and research labs. Cognitive Quantum is the company we formed to do that work on our own terms: architecture first, delivery with the people who designed it, and products we actually operate.
We are a Wyoming LLC. Delivery is remote, senior, and hands-on. CogniQ is our public product. Everything else is commissioned work, research we can discuss, or systems we helped shape without claiming them as ours.
Services
Architecture that survives national load. Agentic AI that takes action. Marketplace APIs that keep catalogs, stock, and orders in sync. Front-end that ships. Quality and data that do not get bolted on later.
Service boundaries, data contracts, and delivery models for systems that must scale and stay operable. Java / Spring, Python, Angular, microservices, and event-driven designs — including Kafka-backed pipelines.
We take a product from domain model to a UI people can actually use. Interactive clinical canvases, client portals, marketplace backends, and the APIs that sit between them.
Visual and interaction design for production software — layout, hierarchy, and the interface itself — then implemented in Angular, React, and related stacks. Not a mock that dies in Figma; the screen that ships.
Agents with tools, memory, and permission to act: refresh a listing, route a document, score a risk, open a ticket. Not a chatbot that describes the work. The system that does it — with an audit trail.
Amazon SP-API, eBay Sell/Inventory, Walmart Marketplace, Shopify Admin/Storefront, Home Depot vendor feeds — listings, inventory, orders, and price through the platforms’ own APIs, not a spreadsheet night shift.
Classification, regression, and operational ML with Scikit-learn and PyTorch. Research in health-risk scoring and policy prediction is now productized in CogniQ for tabular AutoML.
AWS, Azure, Kubernetes, WSO2, CI/CD, and observability. Architecture is useless if it cannot be deployed, watched, and rolled forward. This is a first-class practice, not an afterthought.
Oracle, PostgreSQL, MySQL, and SQL Server — schema design, performance, and the unglamorous work of keeping operational data trustworthy under load.
Release discipline, test strategy, and QA leadership. Quality is a named function here, led by someone who ran it for national-scale systems — not a checkbox at the end of a sprint.
Marketplace platforms
If you sell on Amazon, Walmart, eBay, Shopify, or Home Depot, the bottleneck is rarely “can we list a SKU.” It is keeping inventory, price, and orders honest across every storefront without a night shift of spreadsheets. We integrate the platforms’ own APIs — Selling Partner, Sell/Inventory, Marketplace, Admin/Storefront, vendor feeds — so the commerce layer moves with the rest of the business.
Amazon
Selling Partner API (SP-API)
Listings, catalog, inventory, orders, pricing, and feeds. Multi-vendor stock and price sync that survives the next API version.
eBay
Sell API · Inventory API
Offers, inventory, fulfillment, and order pull. The same catalog that hits Amazon can hit eBay without a second ops team.
Walmart
Marketplace APIs
Items, inventory, orders, and price. Walmart’s rules are not Amazon’s; the integration has to know the difference.
Shopify
Admin API · Storefront API
Themes, catalogs, checkouts, webhooks, and the operational workflows behind the store — not a theme pack left on the doorstep.
Home Depot
Vendor & marketplace APIs
Supplier catalogs, inventory, and order paths into a retailer that does not forgive stale stock.
And the rest of the shelf
Feeds · REST · webhooks
CSV, FTP, and REST alongside the big five. If a channel has a documented API, we will put your catalog on it.
Not a partnership badge. We integrate the APIs you already sell through.
Agentic AI
Most “AI” on a sales call is a chat window. Agentic systems plan a task, call APIs, update records, and stop when the work is done — listing a SKU, extracting an invoice, scoring a tax-risk file, opening a human review when confidence drops. We design the tools, the permissions, and the audit. CogniQ is the predictive engine; agents are how it enters the working day.
Achievements
Not a trophy wall. These are results from products we built, research we led, and systems we helped take to production.
Taxation · PRAL / FBR · contribution
IRIS is Pakistan’s Inland Revenue Information System, owned by PRAL for the Federal Board of Revenue. Cognitive Quantum does not own IRIS. As chief architect while employed there, our founder led the 2.0 revamp from a resource-hungry stack to Spring Boot microservices — same tax operations, far less infrastructure, with WSO2, Oracle, Redis, and live monitoring.
Healthcare product
VascuNote replaced a dictation-and-transcription cycle with an interactive vessel canvas. Surgeons leave with the operative report, CPT-coded charge sheet, and CMS payment estimate in the same pass.
Research → product
Three predictive platforms at SZABIST’s analytics lab — health-risk scoring, infant-mortality prediction, and a domain-agnostic numeric engine. That last system is now a commercial AutoML product.
Commerce
Vendor feeds over CSV, FTP, and official APIs — Amazon SP-API, eBay Sell/Inventory, Walmart Marketplace, Shopify Admin/Storefront, Home Depot vendor paths — with stock and price kept in sync.
End-to-end delivery
VascuNote, RocketCase, CandidTrack, taxi operations, and CogniQ were designed, written, and put into production by this team — including the front-end the user actually touches.
Practice
Architecture, AI and business development, quality leadership, and databases — each owned by someone who has run that function for a career, not a contractor we found last week.
Selected work
Years of full-time employment produced systems we are not at liberty to list as Cognitive Quantum case studies. Those years still inform how we work. What follows is work we built as independent engagements, lab research we led, contributions we can describe without claiming the product, and the product we operate ourselves.
Contribution · taxation · state-owned
IRIS is the national tax platform of Pakistan, owned by PRAL (Pakistan Revenue Automation) for the Federal Board of Revenue. Cognitive Quantum does not own IRIS. As an employee, our founder served as chief architect on the 2.0 programme: taxpayer registration, NTN, returns, assessment, demand and arrears — rebuilt as microservices so a platform that had been resource-hungry could serve the same country on a leaner footprint.
Java / Spring Boot APIs, Oracle, Redis, WSO2 for inter-service integration, Grafana and Prometheus for operations, Angular at the edge. This is the taxation domain we still design for.
Our product
A hosted AutoML engine: upload or connect tabular data, map features, run an algorithm tournament, deploy a model, and call predictions from your own systems. Born from lab work on numeric prediction; now a commercial SaaS product.
Healthcare · delivered end to end
Clinical documentation platform for vascular and endovascular physicians. Surgeons document angioplasty, stenting, atherectomy, and related procedures on an interactive vessel canvas. The system writes the operative report, CPT-coded charge sheet, coding explanation, and CMS-based payment estimate — compressing documentation that used to take a dictation cycle into about ten minutes.
Legal · delivered end to end
Client communication portal for legal practices: case updates, document requests, and hearing reminders, synchronized with Clio. Built as a complete Spring Boot product and deployed to production — intake through document workflow, not a slide-ware integration.
Research lab · led & built
At SZABIST’s Predictive Analytics Lab we designed and built three platforms: disease-risk classification for early intervention, an infant-mortality predictor from healthcare and socio-economic data, and a domain-agnostic numeric predictor. The last of these is the direct ancestor of CogniQ.
Staffing · delivered end to end
A recruiting marketplace: employers post roles, agencies submit candidates, vendors interview and return structured feedback. Built as a complete web product for a US client — hiring workflow, not a brochure site.
Mobility · freelance, delivered
Two production systems for taxi operators: school-run account management with invoicing, and a public booking flow that calculates distance-based fares and takes payment before the ride. Practical software for a business that runs every morning, not a concept app.
On the following, we were senior contributors — not the sole authors, and not the product owners. We list them because the work is real, and because claiming the whole product would not be.
Team
Four principals. Combined, nearly eight decades in architecture, AI, business development, quality, and data. We hire specialists when a project needs them; we do not hide behind a logo.
Product
Cognitive Quantum is the company. CogniQ is the AutoML product — accounts, pricing, and support are on the product surface. This page is the studio. That one is the engine.
Contact
Architecture reviews, a tax-domain rebuild, marketplace APIs, an agent that should be allowed to act, CogniQ for your team — or a conversation about whether we are the right fit. We answer within 24–48 business hours.