Giuseppe Castellucci
Senior Applied Scientist - Amazon AGI
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolGiuseppe Castellucci is a Senior Applied Scientist at Amazon AGI with 11 years of experience building NLP and ML systems that bridge research and production. He earned a PhD from the University of Rome Tor Vergata studying structured learning for sentiment analysis and later shifted to deep learning for language tasks, driving applied innovations across Alexa Shopping, Rufus, and AGI teams. Based in Seattle, he combines rigorous academic grounding and practical engineering to ship robust conversational and shopping-related language features at scale. Giuseppe is motivated by making machines better collaborators with humans and is known for translating research ideas into working code and measurable product impact. An early career background in web and mobile development gives him a pragmatic systems mindset that complements his research-first approach.
11 years of coding experience
6 years of employment as a software developer
Computer Science Engineering, Computer Science, 110/110 cum laude, Computer Science Engineering, Computer Science, 110/110 cum laude at Università di Roma Tor VergataDiploma Liceo Scientifico, maths and science, italian/english literature and language, history and arts., 90/100, Diploma Liceo Scientifico, maths and science, italian/english literature and language, history and arts., 90/100 at Liceo Scientifico Tullio Levi CivitaDoctor of Philosophy (Ph.D.), PhD in Electronic Engineering, Doctor of Philosophy (Ph.D.), PhD in Electronic Engineering at University of Rome Tor Vergata
Italian, English
Github Skills (24)
python10
data-science10
clustering-algorithm10
machine-learning10
generative-adversarial-network10
ml10
semi-supervised-learning10
generative10
deep-learning10
tensorflow10
few-shot-learning10
neural-network10
theano10
classification-algorithm10
kernel-methods10
Programming languages (3)
Github contributions (5)
SAG-KeLP-Legacy/tree-kernel
Nov 2014 - Jul 2015
Contributions:23 commits, 9 pushes, 1 branch in 8 months
SAG-KeLP/kelp-examples
Nov 2014 - Jul 2015
Contributions:49 commits, 30 pushes, 1 branch in 8 months
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