I engineer data validation systems, not just test scripts.
My work spans:
- Data Quality: Correlating ground truth (video) with telemetry claims
- Observability: Hardware-in-the-loop testing & alignment
- Automation: Modern testing frameworks with high signal, low noise
- Integrity: Explainable heuristics over opaque magic
- Evidence: Screenshot-backed findings with timestamps & confidence
Every repository in this portfolio reflects real engineering standards, not classroom demos.
flowchart TB
A["Dustin Braun Portfolio<br/>(Data Validation & Quality)"]
A --> B["Data Validation<br/>Screen-to-Events • Telemetry Integrity • Alignment"]
A --> C["UI Testing<br/>WebdriverIO • Playwright • Cypress"]
A --> D["API Testing<br/>Postman • Newman • Schema Validation"]
A --> E["Performance & Security<br/>k6 • OWASP ZAP • CI Integration"]
click B "https://github.com/jptrp/signal-noise-screen2events" "Data Validation"
click C "https://github.com/jptrp/saucedemo-wdio-automation" "UI Automation (WDIO)"
click D "https://github.com/jptrp/saucedemo-api-testing-postman" "API Testing (Postman)"
click E "https://github.com/jptrp/k6-zap-perfsec-automation" "Performance (k6) + Security"
| # | Project | Tech Stack | Key Capabilities | Links |
|---|---|---|---|---|
| ⭐ | Signal & Noise (Screen-to-Events) Hardware-in-the-loop observability |
• Video-derived state timeline • Telemetry correlation engine • Multi-device support (Roku/Apple TV) • Time alignment & drift estimation • Evidence-backed findings • S3/Athena/OpenSearch adapters |
Repo | |
| ⭐ | ERP Test Automation Enterprise system showcase |
• MVP ERP (4 modules) • 190 TestRail test cases • Feature flags (A/B testing) • Dual CI/CD (AWS + Azure) • 90% automation |
Repo | |
| ⭐ | Video Data Quality Lab ML/AI testing framework |
• Computer vision testing • ML model validation • Video quality metrics • Automated analysis • Research-grade |
Repo | |
| 4 | WebdriverIO UI Automation Production framework |
• POM Architecture • 3 Test Suites (Smoke/Regression/E2E) • CI/CD + Allure Reports • ESLint/Prettier/Husky |
Repo • CI • Reports | |
| 5 | API Testing Contract validation |
• 11-endpoint suite • JSON schema validation • Negative testing • CI-ready |
Repo | |
| 6 | Playwright UI Modern automation |
• Cross-browser testing • Trace viewer • Deterministic selectors • Fast execution |
Repo | |
| 7 | Cypress UI Developer experience |
• Fast dev cycles • Custom commands • Strong debugging • Time-travel debugging |
Repo | |
| 8 | Performance + Security Non-functional testing |
• Load testing with thresholds • ZAP baseline scanning • Combined perf + security • CI integration |
Repo |
- Data Validation & Observability → Correlating ground truth (video) with telemetry claims, aligning timelines, detecting anomalies
- Computer Vision & Video Analysis → State detection, motion analysis, OCR-based signals, explainable heuristics
- Telemetry Integrity → Normalized adapters for S3, Athena, OpenSearch; session/device identity resolution
- UI Automation Mastery → 3 modern frameworks (WDIO, Playwright, Cypress) with POM architecture
- API Testing Expertise → Schema validation, contract testing, normalization pipelines
- Non-Functional Testing → Performance + Security (k6, OWASP ZAP) integrated with CI/CD
- Production Standards → Type-safe design (Pydantic, TypeScript), comprehensive docs, explainable heuristics
Data Validation & Automation are engineering disciplines.
I operate by these principles:
- Screen is Truth → Video is ground truth, telemetry is claims to validate
- Explainability > Opaque Magic → Deterministic heuristics over ML black boxes
- Evidence-Backed Findings → Mismatches backed by screenshots, timestamps, confidence scores
- Stability > Speed
- Clarity > Cleverness
- Architecture > Accumulation
- Real Coverage > Illusion of Tests
These tools aren't written to simulate production or automate clicks —
they're written to validate claims, detect anomalies, and improve decisions at scale.
Languages: Python, TypeScript, JavaScript
Data Validation: Pydantic, Video Processing, Computer Vision, State Machines, Correlation Engines
Telemetry Adapters: S3, AWS Athena, OpenSearch, JSONL normalization
UI Automation: WDIO, Playwright, Cypress, Selenium
API Testing: Postman, Newman, Playwright API, schema validation
Performance & Security: k6, OWASP ZAP
CI/CD: GitHub Actions, Docker
Architecture: POM, Adapters, Fixtures, Utilities, Data Strategies, Evidence Export
Dustin Braun
Data Validation Lead | Video Analytics & Platform Integrity
📍 Castle Rock, CO
🔍 Focus: Telemetry Integrity, Hardware-in-the-Loop Observability, AI Readiness
📧 jptrp@icloud.com
🔗 https://www.linkedin.com/in/dustinbrauntesting/
🐙 https://github.com/jptrp