Raúl Pinillos
Software Engineer, IOS at Goodnotes
Zaragoza, Aragon, Spain
Summary
👤
Senior🎓
Top SchoolRaúl Pinillos is an iOS software engineer with nine years of experience and over six years focused on building production-grade Apple apps, currently shaping enterprise features at Goodnotes in Zaragoza. He combines a physics background with hands-on expertise in Swift, SwiftUI, UIKit, CoreData, CoreML, Metal and modern concurrency, having implemented SAML SSO, enterprise license deployment and WebDAV backup for B2B customers. Raúl has shipped high‑scale consumer work (Zara apps with millions of monthly users), led end-to-end app projects for startups, and built a custom protein-visualization engine as a side project, showing a knack for performant graphics on mobile. He also contributes to scientific open-source testing—improving NumPy's RNG robustness—reflecting a careful, QA-minded approach to reliability beyond mobile UI.
10 years of coding experience
4 years of employment as a software developer
BSc in Physics, BSc in Physics at Universidad de ZaragozaMSc on High Performance Computing [Not completed] Computer Software Engineering, MSc on High Performance Computing [Not completed] Computer Software Engineering at Universidade da Coruña
Spanish, English, Japanese
Github Skills (6)
randomization10
python10
numpy10
test-automation10
testing10
unit-testing9
Programming languages (8)
Github contributions (5)
numpy/numpy
Sep 2020 - Feb 2022
The fundamental package for scientific computing with Python.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 reviews, 7 commits, 2 PRs in 1 year 5 months
Contributions summary:Raúl focused on improving the testing coverage and reliability of the NumPy library. Their contributions involved adding tests for the von mises distribution, specifically addressing edge cases with large kappa values and checking the output range. They also added tests and corrected parameter checks related to the negative binomial generator. These changes enhance the robustness and accuracy of the random number generation capabilities within NumPy.
pythonscientific-computingnumpy
Androp0v/CerbuApp-iOS
Jul 2019 - Dec 2022
iOS App for students currently living at CMU Pedro Cerbuna.
Contributions:133 commits, 6 PRs, 106 pushes in 3 years 5 months
iosmobile-app
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.