Alan Velasco
Software Engineer at PlusPlus
Barcelona, Catalonia, Spain
Summary
🤩
Rockstar🎓
Top SchoolAlan Velasco is a software engineer based in Barcelona with a decade of experience building backend systems, data pipelines, and CI/CD automation across startups and major tech companies including Twitter and Scale AI. He contributes to notable open-source projects like pandas—fixing core data-manipulation issues and improving tests/docs—and automated Twemoji’s deployment workflows, reflecting both deep data-library knowledge and practical DevOps skills. Comfortable with Django REST Framework and data engineering, he blends hands-on coding with a collaborative open-source mindset cultivated through multiple internships and full-time roles at Twitter. Known for helping others and a taste for good breakfasts, he brings pragmatic problem-solving and careful attention to production reliability.
10 years of coding experience
5 years of employment as a software developer
Computer Software Engineering, Computer Science, 1st Year student, Computer Software Engineering, Computer Science, 1st Year student at Tecnológico de MonterreyHighschool, Highschool at Prepa Tec Campus Sinaloa
English, Spanish, Italian, Korean
Stackoverflow
70reputation
2kreached
2answers
6questions
Github Skills (23)
git10
pytest10
python10
data-science10
testing10
pandas10
bash10
cicd10
automation10
automations10
data-analysis10
github-ci9
githubaction-workflow9
emoji8
numpy7
Programming languages (17)
Github contributions (5)
twitter/twemoji
Jun 2019 - Jul 2019
Emoji for everyone. https://twemoji.twitter.com/
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:18 commits, 3 PRs, 10 pushes in 21 days
Contributions summary:Alan's contributions primarily revolve around establishing and automating the project's build and deployment processes. They implemented a deployment script using Bash to push built files to the `gh-pages` branch. The user added automatic version specification and included steps to handle existing versioned folders, contributing significantly to CI/CD pipeline.
emojiemoticonstwemojitwitterunicode
pandas-dev/pandas
Jul 2017 - Oct 2017
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:Data Scientist
Data ScientistContributions:5 commits, 7 PRs, 38 comments in 2 months
Contributions summary:Alan contributed to the pandas library by addressing several issues and implementing features. They fixed an error message, added stacklevel to warnings, supported non-unique period indexes in join and merge operations, and allowed dict-like arguments for renaming categorical variables. These contributions demonstrate a deep understanding of pandas' internal workings and data manipulation capabilities, including testing and documentation updates.
pythondatalabeled-datamanipulationdataframes
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