Charly Mcrae-olson

Quality Analyst, Senior Consultant at Thoughtworks

Atlanta, Georgia, United States
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Summary

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Rockstar
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Charly Mcrae-Olson is a Senior Quality Analyst with four years of hands-on experience designing and implementing maintainable test automation across frontend and backend systems for clients at Thoughtworks and Cognizant Softvision. She combines an engineer’s rigor—rooted in a Georgia Tech mechanical engineering degree and data-driven testing using R—with practical DevOps-oriented tooling like Cypress, GitHub Actions, Postman, and JavaScript-based frameworks. At Thoughtworks she led QA strategy for a greenfield clinical decision support project, building systems meant to be sustained after rollout and creating interactive dashboards to replace manual data-quality checks. Her open-source contributions include refactoring integration tests for the well-known Cloud Carbon Footprint project using Page Object Model patterns to improve reliability. Quick to learn new tech and processes, she also brings cross-cultural perspective and conversational Japanese to client engagements.
code4 years of coding experience
job5 years of employment as a software developer
bookBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Georgia Institute of Technology
bookHong Kong University of Science and Technology (HKUST)
languagesJapanese, German
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Github Skills (7)

test-automation10
javascript10
testcafe10
integration-testing10
footprint4
carbon-emissions4
cloud-computing4

Programming languages (1)

TypeScript

Github contributions (1)

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Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:14 commits, 11 pushes, 3 issues in 15 days
Contributions summary:Charly's contributions primarily involved refactoring and updating integration tests for the "Cloud Carbon Footprint" project. They focused on implementing Page Object Model (POM) design patterns to improve test maintainability. The user updated tests across multiple components, including the main application, recommendations, and unit of measure toggling, demonstrating a strong focus on thorough testing. These changes appear to be aimed at improving the reliability and coverage of automated tests within the project.
climatepythonfootprintcloudemissions
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Charly Mcrae-olson - Quality Analyst, Senior Consultant at Thoughtworks