Alessandro Magnani
Distinguished Data Scientist
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolAlessandro 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.
13 years of coding experience
12 years of employment as a software developer
Laurea, Electrical Engineering, Laurea, Electrical Engineering at Università di PaviaPh.D., Ph.D. at Stanford University
English, Italian
Github Skills (19)
caffe9
machine-learning9
statistics9
deep-learning9
clustering9
data-analysis8
python8
approximate-nearest-neighbor-search8
similarity-search8
docker-image8
data-science8
subnet6
scikit-learn6
algorithms6
network5
Programming languages (4)
Github contributions (5)
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
clusteringsimilarity-search
alemagnani/big-ann-benchmarks
Sep 2023 - Nov 2023
Framework for evaluating ANNS algorithms on billion scale datasets.
Contributions:19 pushes, 3 branches in 1 month
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