Giorgio Vinciguerra is an Applied Scientist II with a PhD in Computer Science and 11 years of experience building high-performance, ML-enhanced data structures and compression algorithms that run in production for vector search engines and databases. He has authored 20+ peer-reviewed papers (750+ citations), holds a granted US and Italian patent, and has a strong track record of shipping open-source C++/Python libraries—most notably providing the core implementation for the PGM-index, a state-of-the-art learned index for billions of items. At Università di Pisa he supervised multiple theses, taught across BSc–PhD levels, and led integrations for the SoBigData platform, while visiting institutions such as Harvard and KTH. Now based in Turin and working at Amazon, Giorgio combines research rigor with pragmatic engineering to turn algorithmic advances into scalable production systems. An understated strength is his ability to translate cutting-edge research into compact, production-ready implementations that significantly reduce space and latency.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Università di Pisa
🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
Role in this project:
Back-end Developer
Contributions:176 commits, 9 PRs, 142 pushes in 2 years 10 months
Contributions summary:Giorgio's contributions primarily involve uploading the initial source code for a PGM-index data structure, including the core header file. This suggests the developer was responsible for the fundamental implementation of the PGM-index, including defining the data structures, algorithms, and core functionalities. The changes encompass the core building blocks and parameters of the index.
Contributions:4 commits, 3 pushes in 1 year 1 month
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Giorgio Vinciguerra - Research Fellow (RTD-A) at Università di Pisa