Portfolio

Building the tools I needed

When commercial test management stopped fitting the way the team worked, the answer was to build something that did.

Hero project

Exelion

An enterprise test management platform built to covering test case management, execution tracking and reporting for distributed QA teams.

Screenshots pending

Try Exelion

The panel below is a working wireframe of Exelion, not a picture of one. Scope a sprint, let the local AI draft the test cases, approve them, run them, and read the release verdict it builds out of your own decisions.

Exelion — QA Control PanelINTERACTIVE WIREFRAME

Solara RetailSprint 24STAGINGQA_LEAD

Step 1 of 5

Scope the sprint

Exelion reads Jira and never writes back to it. Choose the requirements this run has to prove.

SOL · Solara CheckoutREAD-ONLYSelected: 0

SOL-118Apply a promo code at checkoutShoppers can enter a promotional code in the checkout summary. Valid codes reduce the order total before tax is calculated.Acceptance criteria: 3HIGH
SOL-124Allow guest checkout without an accountShoppers should be able to complete a purchase without registering. Order confirmation is sent to the email address supplied during checkout.No acceptance criteriaMEDIUM
SOL-131Refund a partially shipped orderWhen only part of an order has shipped, support agents can refund the unshipped items without cancelling the whole order.Acceptance criteria: 3CRITICAL
SOL-140Pricing rework — TBDNo acceptance criteriaNo descriptionLOW

Select at least one ticket to continue.

A wireframe of Exelion, not the product itself. The layout, the lifecycle rules and the six-signal confidence model are Exelion's; the company, the tickets and the test cases are invented for this demo. Nothing here connects to a real Jira or a real test database.

01Problem
Commercial test management tools charge per seat, and the cost scales with exactly the thing a growing QA organisation cannot avoid — more testers. Their AI features make it worse: drafting test cases means sending requirements and acceptance criteria to a third-party service, which is simply not available to teams working in banking, healthcare or government. So the choice was an expensive tool without AI, or an expensive tool that regulated work cannot use.
02Solution
Exelion runs the AI on your own hardware. A CPU-only ONNX pipeline embeds each Jira ticket, retrieves similar existing cases, and drafts Gherkin scenarios — positive, negative and edge — with no request ever leaving the network and no GPU required. The AI is deliberately fenced in: it drafts and never approves, flags its own assumptions when acceptance criteria are thin, and skips empty tickets rather than inventing coverage. Every case moves through an enforced lifecycle — DRAFT, REVIEWED, APPROVED, ACTIVE, STALE, DEPRECATED — and every transition is written to an immutable audit log. Jira integration is read-only by design, so the system can never corrupt the source of truth. Built on Python 3.12 and FastAPI over PostgreSQL, with a React and TypeScript control panel, all business logic held in the backend so it can be audited in one place.
03Impact
Removes per-seat licensing entirely, and makes AI-assisted test authoring available to teams that are contractually barred from sending requirements to an external service — the banks, insurers and government platforms this CV is built on. Release decisions stop being a judgement call: a six-signal confidence score combines coverage, execution results, skipped-test risk, defect quality, requirement traceability and flakiness into a GO / NO-GO assessment that can be exported and defended. Because every action is audited as it happens, an ISO 27001 or SOC 2 review reads existing evidence instead of triggering a scramble. Roughly 340 backend modules and 100 test files, with Playwright end-to-end coverage — built and maintained alongside a full-time QA role.

Selected engagements

The work behind the record

Three engagements told in full — what was wrong, what I owned, what I did about it, what changed, and why the change mattered to the business.

Rapor Pendidikan, a national education platform

GovTech Edu2023–2024

Problem: Every regression cycle before a release was run by hand. That made the release cadence, rather than the risk, decide how much got tested.
Responsibility: Quality for the platform end to end, from test design through to the release call.
Approach: Automated the regression suite and wired it into the delivery pipeline so it ran on every change, and validated the services directly at the API rather than only through the interface.
Result: Releases stopped waiting on a manual regression pass. The suite ran on every change instead, and faults that used to be found in production were being caught in the pipeline before merge.
Business impact: A platform used by schools across Indonesia could ship more often with fewer faults reaching the people who depend on it.
Tools: Selenium · Postman · GitLab CI/CD

Standardising the QA function

INA Digital Edu2025

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Live demo

Tooling

Tools directory

Tools built to solve a specific problem in the quality workflow.

Exelion
Test Management
Enterprise test management platform replacing TestRail — test case management, execution tracking and reporting.
Recension
Process Improvement
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Building the tools I needed

Exelion

Try Exelion

Scope the sprint

The work behind the record

Rapor Pendidikan, a national education platform

Standardising the QA function

Other projects

jemzsync

Jemz Vault Assistant

Jemz Cleaner

Recension

Tools directory

Exelion

Recension

Migrating a core banking platform

The TestRail era

The Exelion era