Vision Vault SystemsWhere trust meets technology

About the founder

Ferkat Jawdat

"I build tests that can actually fail."

Founder and principal consultant. Ten-plus years hardening UI, API, and data validation for federal and enterprise programs — now doing the same for production AI systems. Every metric on this site is his delivered work; every engagement gets his direct involvement alongside a hand-picked senior team.

Living resume — always current · full history and downloadable resume
30% → 97%
Regression pass rate on a federal suite
5 days → <1
ETL validation cycle, federal data program
150+
Tables validated on a Databricks medallion platform
10 yrs
Federal & enterprise quality engineering

The philosophy

Most automated suites pass without proving anything.

The failure nobody reports is the test that goes green without checking anything. An assertion that cannot fail is not a test — it's a receipt. On a recent enterprise suite he audited every assertion for falsifiability, deleted the ones that could never go red, and replaced them with grounded checks. Defect detection went up. The pass rate went down first — which is the correct direction.

Generated tests make this worse, not better. He uses AI heavily for authoring, migration, and triage — and never lets it decide what counts as verified. That line is where teams are about to get hurt, and it's the foundation of every framework VVS builds.

Track record

Ten years, mostly on systems that cannot quietly break.

Client names withheld under engagement agreements. Metrics are real.

2025 — present

Lead Test Automation Engineer & Quality Architect

Federal enterprise programs, concurrent contracts
  • Built an AI validation program for public-facing assistants — accuracy, hallucination, bias, security, and safety with DeepEval, MLflow 3, garak, and PyRIT.
  • Architected a YAML-driven Databricks medallion validation framework from zero requirements: 150+ tables, 40+ validation types per table, 90%+ coverage gating CI/CD.
  • Delivered 5 Salesforce Lightning frameworks in 14 months via AI-augmented migration — coverage up 50% with zero loss, 97% pass rate, 3 client teams trained who still extend them.
  • Modernized legacy Selenium + TestNG to Playwright with Cucumber BDD in Java 17 across 10 enterprise applications.
  • Cut an ETL validation cycle from 5 days to 6 hours — 16M+ rows validated daily on PySpark + EMR.
2024 — 2025

Senior SDET

Federal government, enterprise program
  • Rebuilt a Selenium/Cucumber framework: pass rate 30% → 97%, runtime down 80%+.
  • Expanded coverage 125% while building GitLab CI pipelines with Docker and Allure.
  • Led JMeter performance testing; resolved critical API latency and timeout failures.
  • Ran Section 508 accessibility testing and remediation.
2016 — 2024

QA Manager · Automation Lead · Performance Architect

Federal health programs
  • Designed full-stack automation for UI, API, and database validation across regulatory workflows; mentored the engineers who ran it.
  • Performance architect during enrollment surges — modeled load and stress for 250%+ traffic increases.
  • Led IV&V for regulatory reporting systems on Jenkins pipelines; built ETL validation with FitNesse, DbFit, and PostgreSQL.

Works in

The whole pyramid, first-hand.

Test automation

Playwright · Selenium · Cypress (migration) · Cucumber BDD · Pytest · REST Assured · TestNG · Java · Python · TypeScript

Data & ETL validation

PySpark · Databricks · AWS EMR · S3 · Aurora PostgreSQL · advanced SQL · YAML data contracts · medallion architecture

AI systems quality

DeepEval · MLflow 3 · garak · PyRIT · LLM-as-judge design · red teaming · RAG & agent evaluation

Delivery & gates

Jenkins · GitLab CI · GitHub Actions · Docker · Allure · Jira · TestRail · JMeter · LoadRunner · Section 508 & WCAG

Built, not just tested

He ships software too.

Platform

ForgeQA

An AI-native test automation platform: migration wizard for Gherkin/Cypress/Playwright suites, AI debug agent, live locator suggestions via Playwright MCP, role-based dashboard, Allure reporting — built for federal compliance.

Shipped product

EnChaptered

An AI storybook generator for children aged 2–8. Designed, built, and shipped solo — Next.js, Gemini API, deployed on Vercel with real users.

And the assessment assistant on this site? Built and tested in-house — it runs the same three-layer verdict we sell.

Talk to the person who'll actually do the work.

No account managers, no bait-and-switch staffing. Remote-first, based in Chantilly, Virginia.

contact@visionvaultsystems.com

LinkedIn: ferkat-jawdat