Alessandro Magnani

Distinguished Data Scientist

Palo Alto, California, United States
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Summary

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Senior
🎓
Top School
Alessandro Magnani is a Distinguished Data Scientist in Palo Alto with 12 years of experience applying convex optimization, statistical estimation, and deep learning to large-scale retail problems. At WalmartLabs he has led product classification and label-management efforts, designed a container-based ML platform now deployed across Search and Catalogue, and presented work at NIPS workshops. He combines academic rigor from a Stanford Ph.D. with hands-on product ownership, reducing classification errors and operational costs while accelerating time-to-market for ML features. Known for bridging research and production, he focuses on reliable, scalable ML systems that turn complex taxonomies into usable catalog signals. An early career background in analog design and long tenure in industry research give him an unusual mix of low-level precision and system-level engineering.
code12 years of coding experience
job12 years of employment as a software developer
bookLaurea Electrical Engineering, Laurea Electrical Engineering at Università di Pavia
bookLiceo Scientifico
bookPh.D., Ph.D. at Stanford University
languagesEnglish, Italian
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Github Skills (32)

nearest-neighbors9
python9
similarity9
machine-learning9
statistics9
clustering9
cosine-similarity9
data-analysis8
caffe8
fabric8
similarity-search8
docker-image8
data-science8
subnet7
datasets7

Programming languages (4)

C++GoJupyter NotebookPython

Github contributions (5)

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alemagnani/faiss

Jul 2022 - Oct 2023

A library for efficient similarity search and clustering of dense vectors.
Contributions:20 pushes, 5 branches in 1 year 3 months
semantic-similarityapproximate-nearest-neighbor-searchk-meansvectorssimilarity-search
Framework for evaluating ANNS algorithms on billion scale datasets.
Contributions:19 pushes, 3 branches in 1 month
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Alessandro Magnani - Distinguished Data Scientist