Lorena Rodriguez
Senior QA Engineer at Canary Technologies
Paraguay
Summary
👤
Senior🎓
Top SchoolLorena Rodriguez is a Senior QA Engineer with 15+ years in tech and nine years focused on quality, automation, and DevOps, currently driving QA at Canary Technologies. She blends hands-on full-stack development experience—contributing refactors to the widely used open-source Community Health Toolkit (CHT)—with a systems-level approach to CI/CD, observability, and resilient test architecture. At Medic she led QA strategy for a platform supporting 40,000+ health workers and 85M+ care activities, introducing visual regression testing and shifting teams from QA to Quality Assistance. Comfortable across languages and stacks from telecom billing systems to modern web frameworks, she has migrated test frameworks (Protractor → WebdriverIO) and built sustainable pipelines for long-term reliability. Known for mentoring distributed teams and presenting QA strategy internationally, Lorena pairs academic foundations in formal methods with pragmatic engineering that prevents regressions before they reach users.
9 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Colegio Internacional SEK ParaguayBachelor’s Degree in Computer Engineering, Bachelor’s Degree in Computer Engineering at Universidad Católica Nuestra Señora de la AsunciónUniversitat Politècnica de València
Github Skills (10)
async-await10
javascript10
refactoring10
testing10
chm9
ch9
chdk9
chr9
couchdb8
mobile6
Programming languages (6)
Github contributions (5)
medic/cht-core
Apr 2022 - Nov 2022
The CHT Core Framework makes it faster to build responsive, offline-first digital health apps that equip health workers to provide better care in their communities. It is a central resource of the Community Health Toolkit.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 268 reviews, 30 commits in 6 months
Contributions summary:Lorena contributed to the project by refactoring code and improving existing functionalities. They focused on code optimization, including the use of `fs.promises` and `async/await` for file operations. The user also addressed code redundancy and made improvements to the codebase, such as avoiding null comparisons and compacting code. This involved modifications in the tests/factories and tests/scalability directories of the project.
digital-healthmhealthmobilemedicalpouchdb
medic/cht-pipeline
Dec 2022 - Jan 2025
Data models for transforming the raw data from Couch DB into models that can then be queried to build dashboards
Contributions:41 reviews, 15 PRs, 112 pushes in 2 years 1 month
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