Overview

Connect Cloud is a cloud-based platform that enables data scientists to publish interactive applications and content. I validated authentication workflows, cloud integrations, and user-facing experiences, while also testing deployment scenarios across R Shiny, Python, Streamlit, Bokeh, Dash, Quarto, and Jupyter. This included verifying different manifests, requirements.txt files, package dependencies, and runtime configurations to ensure applications deployed reliably.

My Role

I was responsible for QA activities throughout the product release lifecycle, partnering with engineers and product managers to identify risks, validate features, and improve release confidence.

Testing Approach

Technical Challenges

Connect Cloud integrated with external platforms requiring careful validation of authentication and authorization workflows.

DatabricksSnowflakeAzureOAuth

AI-Assisted Testing

I used AI-assisted tools to improve test data generation, troubleshoot automation issues, and make testing more efficient.

Key Takeaway

Quality is not just finding defects. It is understanding risk, collaborating with teams, and helping deliver software that users can trust.