Work

Real output.
Real numbers.

We don't show mockups. We show what shipped.

Working Demo · ICFR Architecture

Alpha Telco · Governed Analytics Substrate

Live demo · Qlik Cloud + multi-surface metric registry

A working substrate where ICFR checkboxes are mechanical, not procedural. One canonical metric registry, a parity harness that proves byte-identical reconciliation across every governed surface, and a steward workbench where the approver cannot be the proposer. Built on Qlik Cloud — the same KPI in the data warehouse, the compliance portal, and the executive dashboard all dereference the same composition ID. Drift is detected before any chart renders.

$605M

Revenue YTD locked across three governed surfaces

$0.00

Cross-surface drift permitted by the cascade

627

Governed metrics activated across the substrate

171

Metrics cross-validated across two certified BI apps

Qlik

Cloud + governed master measures

ICFR

Architectural prevention vs. procedural control

What this proves

  • Same KPI, three different SEC filings → architecturally impossible here
  • Versioned definitions with steward-stamped audit rows
  • Cross-surface parity harness — byte-identical at the cent
  • Governance envelope: approver cannot match proposer
  • Per-metric lineage view sourced from the same resolver
  • Activation-triggered atomic propagation across surfaces
Enterprise Engagement

Enterprise Impact Analysis

Large financial organization · Two months

A Fortune-class enterprise needed to understand the full blast radius of a platform migration. Hundreds of BI applications, no documentation, no lineage, no clear picture of what depended on what. Two months later, they had one.

0+

Qlik apps audited

0+

KPI calculations scraped & cataloged

0M

row lineage matrix

~0

SQL scripts converted

0

Python workflows documented

0+

finance datasets mapped across 19 systems

What we delivered

  • Complete Qlik application inventory with dependency graphs
  • KPI lineage matrix linking calculations to source systems
  • SQL conversion from legacy dialects to cloud-native
  • Python/KNIME workflow documentation with data flow mapping
  • Cross-system dataset catalog spanning 19 source systems
  • Impact analysis framework for ongoing governance
Product Build

AIS Intelligence

AI sports video analysis SaaS platform

Built a full SaaS platform from zero. iOS app on the App Store, a cloud-native backend with a video processing pipeline, unified billing across two payment systems, marketing site, and admin tooling. Not a prototype — a production product with real users and real revenue.

iOS

Native SwiftUI app (App Store)

Cloud

Containerized video pipeline

AI

Video analysis pipeline

Unified

Two billing systems, one ledger

14

Sports supported

Full

End-to-end product

Tech stack

SwiftUIPythonStoreKit 2StripeNext.jsTailwind CSS
Visit aidvantagesports.ai →

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