Alessandro Pizzini
Italy
Summary
🤩
Rockstar🎓
Top SchoolAlessandro Pizzini is a full-stack web developer with 11 years of experience, specializing in PHP (Laravel) and modern JavaScript frameworks (React and Angular). He combines hands-on backend expertise—demonstrated by enhancements to the popular abraham/twitteroauth library for chunked media uploads—with front-end polish, contributing UI components and accessibility improvements to the Determined AI platform. As a two-time co-founder, he brings product-minded engineering and practical startup experience from projects like Endorser.me and Nest. Based in Italy and educated in Computer Science at the Università degli Studi di Trento, he balances shipping production-ready systems with thoughtful UX. Notably, his open-source work spans both low-level API integrations and React component design, showing comfort across the full stack.
11 years of coding experience
6 years of employment as a software developer
Computer Science, Computer Science at Università degli Studi di Trento
Italian, English
Github Skills (14)
php-library10
uid10
typescript10
php10
javascript10
typescripts10
front-end-development10
ui-design10
react10
typescript-types10
twitter-api10
storybook9
testing9
webui9
Programming languages (5)
Github contributions (5)
determined-ai/determined
Sep 2020 - Aug 2021
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:252 reviews, 93 commits, 170 PRs in 11 months
Contributions summary:Alessandro primarily contributed to the development and improvement of the web UI components within the Determined AI platform. They focused on implementing new features and enhancements for React components, including the `TableBatch`, `StateSelectFilter`, and `Navigation` components. Their work involved modifying existing components, writing new stories for Storybook for component testing, and refining the layout and usability of various elements within the web UI. The user also addressed issues related to chart rendering and incorporated accessibility improvements.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
abraham/twitteroauth
Aug 2015 - Jun 2017
The most popular PHP library for use with the Twitter OAuth REST API.
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 3 PRs, 6 comments in 1 year 10 months
Contributions summary:Alessandro primarily focused on enhancing the functionality of media uploads within the Twitter OAuth library. They implemented chunked media upload capabilities, allowing for larger files to be uploaded. Furthermore, the user refactored the upload functionality for clarity and added support for media categories and other parameters in the upload process. They also increased and allowed the chunk size to be changed for media uploads.
twitteroauthapiphptwitter-apirest
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