Daniel Reina
Freelance Frontend Developer
Portugal
Summary
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Rockstar🎓
Top SchoolDaniel Reina is a freelance frontend developer with a decade of software experience and seven years specializing in React and its ecosystem, including Redux, Zustand, React Native, and React Three Fiber. He blends hands-on UI engineering with a background in algorithms and test automation—having built and improved a Python-based tester for Stanford's Algorithms Coursera specialization—to ensure reliable, well-tested client-side code. Daniel has shipped product features at companies like Toast and Antiwork (formerly Gumroad) and now focuses on bootstrapped projects and freelancing from Portugal. Trained originally as a mechanical engineer and sharpened at the Recurse Center, he brings a pragmatic, systems-oriented approach to frontend problems and an appetite for tooling that improves developer workflows.
10 years of coding experience
4 years of employment as a software developer
University of SevilleComputer Software Engineering, Computer Software Engineering at freeCodeCampMaster of Engineering (MEng), Mechanical Engineering, Master of Engineering (MEng), Mechanical Engineering at Instituto Superior de Engenharia do Porto
Spanish, English, Portuguese, French
Stackoverflow
6,064reputation
1.5mreached
37answers
45questions
gradle
top-5%
android
top-5%
apache
top-5%
react-router
top-5%
javascript
top-5%
Github Skills (28)
algorithms10
python10
test-automation10
apache9
javascript9
testcase9
filename9
htaccess9
android9
gradle9
react9
react-router9
lib7
fileio7
file-access7
Programming languages (19)
Github contributions (5)
beaunus/stanford-algs
Jan 2017 - Aug 2017
Example Test Cases for Stanford's Algorithms Coursera Specialization
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:28 commits, 15 PRs, 9 pushes in 6 months
Contributions summary:Daniel primarily focused on creating and improving a testing framework for algorithms written in Python within the context of a Coursera specialization on algorithms. Their contributions include building a `tester.py` script that reads inputs, executes student algorithms, and compares the outputs. The user enhanced the tester with features such as size limits, test case filtering, and improved output formatting. Further improvements included fixing data type inconsistencies and handling array outputs, ensuring accurate algorithm validation.
testcasetest-casesstanfordalgorithms-stanfordstanford-algs
dgrcode/compalary
Sep 2018 - May 2024
Contributions:9 PRs, 41 pushes, 2 branches in 5 years 9 months
criteriasalaries
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