Leonardo Kuffó is a PhD student and researcher in Amsterdam specializing in vector similarity search and lossless floating-point compression, having created ALP—now recognized as state-of-the-art—while working on database architectures at CWI. With nine years of experience across research and industry, he has contributed backend code to high-profile open-source projects like DuckDB (implementing and optimizing ALP/ALPRD compression) and maintains practical tooling for web scraping and data extraction. He pairs rigorous academic work with hands-on engineering from roles at Amazon, Shippify, and internships at CERN and Google, bringing production-grade knowledge of distributed systems, routing/VRP, and data pipelines. An educator at heart, he reaches millions through YouTube and thousands of Udemy students, translating complex data-management topics into accessible lessons. Notably, his background blends deep systems research with real-world deployment experience—shipping compression algorithms used in an analytical in-process SQL engine while teaching practitioners worldwide.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Escuela Superior Politécnica del Litoral
Más de 50 ejemplos de web scraping utilizando: Requests | Scrapy | Selenium | LXML | BeautifulSoup
Role in this project:
Back-end Developer
Contributions:22 commits, 6 PRs, 51 pushes in 2 years 6 months
Contributions summary:Leonardo primarily contributed to web scraping projects, implementing extraction logic and data handling within various Python scripts. They developed spiders using Scrapy, integrating features like proxy usage, and addressed bug fixes for existing scraping scripts, such as those for OLX. The code changes demonstrate the user's proficiency in utilizing libraries like Selenium for web automation and Pandas for data manipulation. They also showcased knowledge of setting up custom Scrapy settings.
DuckDB is an analytical in-process SQL database management system
Role in this project:
Back-end Developer
Contributions:37 reviews, 4 PRs, 43 comments in 1 year
Contributions summary:Leonardo's commits focus on implementing and refining the ALP compression algorithm for the DuckDB database. Their work includes the creation of a new compression type, ALP, and the implementation of its core components, including the `AlpCompression` and `AlpDecompression` classes. The user's commits also include various fixes and optimizations in the ALP algorithm, improvements to its sampling mechanism, and general code cleanup. Furthermore, the user's commits introduce an additional compression type called ALPRD, indicating a broader involvement in data compression techniques within the project.
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Leonardo Kuffó - PHD Student at Centrum Wiskunde & Informatica