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Project Portfolio

Explore my QA architecture engagements – real-world transformations that delivered measurable impact across industries and technologies.
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QA Blueprinting

AI Recommendation System

Designed comprehensive test architecture for machine learning recommendation engine, reducing production defects by 65%.
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Test Automation

Payment Processing System

Modernized test automation for legacy financial platform, reducing regression time from 8 hours to 45 minutes.
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Team Alignment

Healthcare Compliance Platform

Bridged communication between engineering, product, and compliance teams, reducing audit findings by 75%.
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Legacy Refactoring

E-commerce Checkout System

Refactored brittle test framework for high-traffic checkout flow, reducing false positives by 90%.
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QA Blueprinting

IoT Device Management

Created test strategy for IoT platform handling 50,000+ devices, establishing scalable validation patterns.
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Test Automation

Mobile Banking App

Implemented cross-platform test automation for banking app used by 2M+ customers, increasing release frequency 3x.
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QA Blueprinting

AI Recommendation System

Designed comprehensive test architecture for machine learning recommendation engine, reducing production defects by 65%.
View Details
QA Blueprinting

IoT Device Management

Created test strategy for IoT platform handling 50,000+ devices, establishing scalable validation patterns.
View Details
Test Automation

Payment Processing System

Modernized test automation for legacy financial platform, reducing regression time from 8 hours to 45 minutes.
View Details
Test Automation

Mobile Banking App

Implemented cross-platform test automation for banking app used by 2M+ customers, increasing release frequency 3x.
View Details
Team Alignment

Healthcare Compliance Platform

Bridged communication between engineering, product, and compliance teams, reducing audit findings by 75%.
View Details
Legacy Refactoring

E-commerce Checkout System

Refactored brittle test framework for high-traffic checkout flow, reducing false positives by 90%.
View Details

Brian Ekasala builds what others fumble through. As a Principal-level QA Architect and cross-domain execution lead .

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AI Recommendation System

Designed and implemented a comprehensive quality architecture for a machine learning recommendation engine processing 5M+ daily transactions. The solution addressed unique challenges in testing AI systems including model drift, data quality validation, and performance under load.

Challenge

The client’s recommendation engine was producing inconsistent results in production, but the team lacked systematic ways to validate model behavior or catch regressions before deployment. Testing was ad-hoc and reactive.

Solution

  • Developed a testing pyramid specifically for ML systems, with unit tests for feature engineering, integration tests for data pipelines, and contract tests for API endpoints
  • Implemented automated validation of embedding quality and semantic consistency
  • Created monitoring system for model drift and data skew
  • Established A/B testing framework for recommendation quality

Industry

E-commerce

Duration

6 months

Technologies

Python, PyTest, TensorFlow, Kubernetes, Prometheus

Results

65% reduction in production defects, 40% faster model iteration cycles