Regulated Core Banking QA Factory
Built an automation-first pipeline covering APIs, performance, and compliance evidence to support monthly releases.
1200+
Automated scenarios
95%
Compliance evidence coverage
From discovery workshops to continuous verification, I combine manual rigor, automated pipelines, and intelligent monitoring to keep experiences flawless. Explore every field of QA -- from UX acceptance and accessibility to chaos, performance, and production validation.
Capability Map
Spanning manual craft, automated intelligence, non-functional assurance, and governance frameworks.
01
Test policy, KPI definition, tooling audits, maturity assessments, and release gate design.
02
Session-based testing, risk-based prioritization, regression packs, and UX acceptance.
03
Page objects, model-based testing, visual regression, contract & API suites baked into CI.
04
Load modeling, soak & spike tests, cache validation, and infra diagnostics.
05
DAST/SAST orchestration, API fuzzing, chaos experiments, and zero trust validation.
06
WCAG audits, assistive tech testing, color/contrast analysis, and inclusive heuristics.
07
Native lab automation, cross-browser matrices, API schemas, and IoT validation.
08
ETL verification, data quality rules, AI model validation, and bias checks.
09
Synthetic monitors, log/trace validation, canary analysis, and feature flag safety nets.
Testing Spectrum
QA Stories
Real implementations across enterprise, fintech, healthcare, and product teams.
Built an automation-first pipeline covering APIs, performance, and compliance evidence to support monthly releases.
1200+
Automated scenarios
95%
Compliance evidence coverage
Designed a hybrid QA model mixing Playwright, contract tests, and data validators for a headless commerce re-platform.
60%
Regression time saved
8
Parallel lanes
Launched an Appium-powered device lab verifying HIPAA-ready mobile apps across wearables and tablets.
45
Device combos
99.8%
Crash-free adoption
Building fairness, explainability, and drift tests for GenAI copilots, embedding results into MLOps dashboards.
12
Bias dimensions
5 min
Model QA per release
Delivery Rhythm
Phase 01
Quality vision, tooling map, risk matrix, and pilot automation spikes.
Phase 02
CI/CD integration, coverage expansion, environment orchestration, and performance baseline creation.
Phase 03
Shift-right validation, quality coaching, experimentation, and continuous improvement loops.
