Staff Forward Deployed Engineer (FDE) @ Google
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Master's Degree in Computer Science at Sapienza University of Rome. Working for Google as a Staff Forward Deployed Engineer (FDE). Main expertise in NLP, Gen AI, GenMedia, Recommendation and Matching/Ranking algorithms.
The Data Incubator
TDI, Data Science
January 1, 2017 – January 1, 2017
Sapienza Università di Roma
Computer Science Master's Degree, Computer Science
January 1, 2014 – January 1, 2016
Sapienza Università di Roma
Computer Science Bachelor's Degree, Computer Science
January 1, 2011 – January 1, 2014
Staff Forward Deployed Engineer (FDE)
May 1, 2026 – Present
Generative AI Solutions Architect
April 1, 2024 – May 1, 2026
Virgin Media O2
Principal Data Scientist
April 1, 2023 – April 1, 2024
London, England, United Kingdom
Virgin Media O2
Senior Data Scientist II
January 1, 2022 – April 1, 2023
London, England, United Kingdom
Culture Trip
Senior Full Stack Data Scientist
November 1, 2020 – April 1, 2022
London, England, United Kingdom
reed.co.uk
Data Scientist
December 1, 2018 – November 1, 2020
London, Greater London, Regno Unito
Headstart AI
Machine learning and Data Scientist
January 1, 2018 – December 1, 2018
London, Greater London, Regno Unito
LiveTech - Living Technology
Data Scientist
May 1, 2017 – December 1, 2017
Roma, Italia
Matematici S.r.l
Developer
July 1, 2016 – March 1, 2017
Roma, Italia
Hollywood movies
March 1, 2017 – Present
Imdb movie rating prediction and Recommendation System
SeismoCloud GNSS: project and development of a real-time gps seismometer using VADASE algorithm
March 1, 2016 – October 1, 2016
Master degree work
San Francisco Crime Classification
January 1, 2016 – Present
Prediction of the crimes that occurred in San Francisco using a Bayes classifier for a University project. At the moment of the deadline (for the delivery of the solution), my project was 82/1082 on the leaderboard.
RankIT
March 1, 2015 – May 1, 2015
Development of an IOS mobile app that allow to create ranks and share them to other users. Project for the university course "Web Interaction" of the Computer Science Master degree at Sapienza University (Rome). Developer: Marco Finocchi (mrcfinocchi@gmail.com) Marco Mulas (mlsmrc@gmail.com, me@marcomulas.com) Giulio Salierno (salierno.g92@gmail.com) Lorenzo Spataro (spataro.1467313@studenti.uniroma1.it) User-Researchers: Vincenzo De Pinto (vincenzodepinto@gmail.com) Valentina Pizzo (valentinapizzo29@gmail.com)
Babelnet Mobile
July 1, 2014 – Present
Mobile version of the Babelnet website using Xhtml, Jstl, Primefaces, Jquery, Javascript, Css.
Seismo Cloud app IOS
January 1, 2014 – Present
Development of the IOS functions that communicate with Arduino (device association, live plot of the accellerometer and seismo history).
Cultural Fit Analysis
The candidate has worked in diverse companies ranging from startups (Headstart AI, LiveTech) to large corporations (Virgin Media O2, Google), indicating adaptability to different organizational cultures. The progression through senior and principal roles, culminating in positions at Google, suggests ambition and a drive for continuous growth. The variety of projects, including personal and university-based ones, shows initiative and a broad interest in applying ML concepts. The focus on generative AI and advanced ML aligns well with a forward-thinking, innovative culture.
Soft Skills & Operational Fit
The candidate's resume highlights roles involving solution architecture and principal-level responsibilities, suggesting strong problem-solving, leadership, and potentially client-facing communication skills. The descriptions of project contributions imply a collaborative work attitude. However, without specific assessment data (e.g., psychometric test results or interview feedback), a definitive assessment of soft skills and operational fit is limited.