Francesco Crecchi is a PhD-level Machine Learning Engineer based in Tuscany with a decade of experience applying adversarial ML and information security research to real-world threats. He led R&D teams as Head of Engineering at Memento Labs, delivering state-of-the-art solutions for law enforcement and intelligence agencies, and previously built an on-device ML anti-malware Android app at Pluribus One. Known for blending deep academic rigour with hands-on engineering, he specializes in making adversarial-resilient systems practical and deployable. As a freelance AI engineer and former security R&D lead, he brings a rare combination of offensive thinking and defensive engineering to protect production systems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università di Pisa
ESANN20 paper code repository. This package is a perplexity-free extension of Parametric t-SNE dimensionality reduction method implemented in `Keras` and compatible with `Scikit-learn`.
Contributions:3 commits, 2 pushes, 1 branch in 9 months
paper-codereductiontensorflowsplinesmethod
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