Deep Dive Intelligence Analyst

Brad Guider

AI-Driven Quality Intelligence — Testing that learns, adapts, and proves risk.

I build multi-agent testing systems and methodology frameworks that turn uncertainty into measurable release confidence—across APIs, UI, and CI/CD.

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About

Quality Intelligence, Not Just Testing

I'm Brad Guider, a Deep Dive Intelligence Analyst focused on quality intelligence—systems that don't just run tests, but reason about risk, prioritize effort, and generate evidence stakeholders trust.

My work spans three flagship initiatives: Foreknowledge Engine (adaptive multi-agent intelligence platform), NAT (AI-powered API testing and security scanning), and BGSTM (a structured 6-phase testing methodology adaptable to Agile, Scrum, Waterfall, and hybrid delivery).

I specialize in Playwright automation, CI/CD quality gates, and full-stack QA platforms (FastAPI/React/PostgreSQL)—with a focus on making testing faster, more reliable, and strategically aligned to business outcomes.

3
Flagship Initiatives
90+
Automated Tests (Demo Suite)
6
Phase BGSTM Lifecycle
Full-Stack
QA Platforms — API · UI · CI/CD
Portfolio

Featured Work

Flagship initiatives and demo projects showcasing AI-driven testing, methodology design, and end-to-end QA engineering.

⭐ Flagship Initiatives

Foreknowledge Engine Flagship

Adaptive Multi-Agent Intelligence Platform

The Foreknowledge Engine is a living, adaptive intelligence platform that fuses timeless strategic wisdom from Sun Tzu's The Art of War with modern multi-agent systems, neural networks, reinforcement learning, and Direct Preference Optimization (DPO). It goes beyond traditional tools by continuously thinking, verifying, and improving itself—producing superior foreknowledge and indirect strategic advantage.

  • Multi-agent reasoning and coordination
  • Continuous verification and self-improvement loops
  • Designed for decision environments with uncertainty and adversarial dynamics
Python Jupyter Multi-Agent RL DPO
Contact for More Info
NAT Flagship

NeuroAgentTest — AI-Powered API Testing & Security Scanning

AI-powered API testing and security scanning that learns, adapts, and finds vulnerabilities static tools miss—built on BDI agents and belief-driven prioritization. NAT delivers adaptive, intelligent test coverage that evolves with your system.

  • BDI (Belief–Desire–Intention) multi-agent architecture
  • Adaptive test generation and intelligent vulnerability discovery
  • Full documentation and a dedicated public website available
Python Multi-Agent BDI CI/CD API Security
Website Docs
BGSTM Flagship

Better Global Software Testing Methodology

Methodology-agnostic testing approach that formalizes a 6-phase lifecycle—from planning through reporting—adaptable to Agile, Scrum, Waterfall, and hybrid delivery. BGSTM brings structure and repeatability to testing without sacrificing flexibility.

  • 6-phase lifecycle: Planning → Design → Environment → Execution → Analysis → Reporting
  • Adaptable to Agile, Scrum, Waterfall, and hybrid delivery models
  • Full-stack QA platform built on FastAPI, React, and PostgreSQL
Python React PostgreSQL TypeScript Docker
GitHub

Public Demos

Microsoft Test Demo

90+ automated tests across 10+ test categories—login, navigation, form validation, search, and more—against a live Microsoft application surface. Includes a live interactive demo and full documentation.

Playwright TypeScript GitHub Actions HTML CSS
GitHub Live Demo Docs
QA Testing Framework

OrangeHRM Demo

95 manual test cases and 31 automated tests covering an HR management platform—including an executive-level ROI analysis demonstrating the tangible value of structured QA investment.

Playwright Python JavaScript pytest
GitHub
Testing Skills Demo

A comprehensive demonstration of core QA engineering skills—test planning, manual testing, automated test implementation, and reporting—showcasing end-to-end testing capability.

Playwright Python pytest GitHub Actions
GitHub