Juan Pablo Lozano Ruiz

Co-Founder & CTO, Tynkr

Juan Pablo works at the intersection of data engineering, AI, and product engineering. Over the last four years he has designed and shipped systems across the full stack — from data pipelines and Power BI dashboards to Next.js applications, LLM-powered workflows, and large-scale Playwright deployments.

At Tynkr he leads the technical architecture: the execution engine, CI/CD pipeline design, AI-assisted test generation, OCR-based evidence capture, and the integrations that connect QA results to the tools engineering teams already use.

Background

Four years building at the intersection of data, AI, and full-stack engineering
Designed and shipped LLM-powered and OCR-based systems in production SaaS products
Full-stack experience spanning Next.js, data pipelines, Power BI, and AI integrations
Implemented Playwright-based automation and CI/CD pipelines for large-scale test execution
Built and deployed QA infrastructure handling test orchestration across multiple environments

Topics

LLM implementation and AI-assisted workflow automationFull-stack development with Next.js and modern web frameworksData engineering, Power BI, and analytics pipelinesOCR systems and document intelligenceSaaS architecture and API designPlaywright implementation and large-scale test automationCI/CD pipeline design and deployment infrastructureQA platform engineering and test execution at scale

Articles

Release QA

Flaky Tests, Dev Dependency, and Broken Workflows — The Toxic QA Trifecta Killing Your Velocity

Flaky tests blocking PRs, devs ignoring QA tickets due to overload, and a Frankenstein stack that never talks to itself — this is the brutal reality for most QA teams in 2026. Here is the honest diagnosis and the 5-step framework to get your sprint back.

May 1, 2026

Framework Comparison

Playwright vs. Cypress in 2026: Why your last evaluation is now outdated.

Playwright vs Cypress is no longer just a syntax debate. In 2026, the decision spans AI-assisted workflows, locator reliability, debugging surfaces, accessibility tooling, and long-term migration cost. Here is how to evaluate both frameworks honestly.

April 21, 2026

Release QA

Release Testing Checklist: What QA Teams Must Verify Before Every Deployment

Most release failures are predictable. This checklist covers what to verify before every deployment: critical user journeys, integration boundaries, execution evidence, and the exit criteria that turns a release decision from subjective to operational.

April 13, 2026