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Head of Software Engineering @ Zuru Tech | AI/Cloud Google Developer Expert | Dad
I’m a Computer Engineer that’s always been in love with the IT world. As soon as I started developing software I understood that the most important part of any system is the data that it collects. So, I started being interested in the data-world: high-dimensional, structured, unstructured, big and small data and the way to store, manage and analyze them. I focused my struggling on how to efficiently store and analyze any type of data and I found the Computer Vision domain a good training bench for a better understanding of this world. The willing to understanding data brought me to focus on Machine Learning and more specifically on Deep Learning. I’m a strong Open Source supporter and I work exclusively on Linux systems
Alma Mater Studiorum – Università di Bologna
Laurea Magistrale LM, Ingegneria informatica
January 1, 2014 – January 1, 2016
Alma Mater Studiorum – Università di Bologna
Laurea triennale, Ingegneria informatica
January 1, 2011 – January 1, 2014
Istituto Tecnico Scaruffi Levi Tricolore
Diploma Istituto Tecnico e Professionale, Ragioniere Programmatore Informatico
January 1, 2006 – January 1, 2011
ZURU Tech
Head of Software Engineering
September 1, 2022 – Present
ZURU Tech
Technical Lead
October 1, 2019 – March 1, 2025
ZURU Tech
Machine Learning & Computer Vision researcher
November 1, 2017 – October 1, 2022
Università di Bologna
Deep Learning researcher
November 1, 2016 – November 1, 2017
Bologna, Italia
University of Bologna
Tirocinante
January 1, 2014 – April 1, 2014
Bologna, Italia
rts: request to struct
April 1, 2016 – Present
Generate Go structs definitions from JSON server responses.
igor
March 1, 2016 – Present
igor is an abstraction layer for PostgreSQL, written in Go. Igor syntax is (almost) compatible with GORM.
Face Miner
November 1, 2015 – March 1, 2016
Face Miner: data mining applied to face detection. https://galeone.github.io/face-miner/
NERDZ
June 1, 2010 – Present
A social networking platform, built from scratch and in continuous development and change. NERDZ is Open Source Software. Every NERDZ project is available on github: https://github.com/nerdzeu
Cultural Fit Analysis
The candidate's project 'NERDZ' being open-source and their involvement in academic research suggest a collaborative and knowledge-sharing mindset. The 'Face Miner' project and research roles indicate a strong interest in innovation and problem-solving within the ML/CV domain. However, the project diversity outside of ML/CV is limited, and the target role is specific, which might impact broader cultural fit if the role requires diverse domain experience.
Soft Skills & Operational Fit
The candidate's experience as 'Head of Software Engineering' and 'Technical Lead' at ZURU Tech highlights strong leadership, strategic planning, team development, and process improvement skills. The introduction of RFCs suggests a focus on structured communication and decision-making. These indicate a strong operational fit for roles requiring both technical depth and leadership.