Paolo Galeone

Head Of Software Engineering at ZURU Tech

Emilia-Romagna, Italy
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Summary

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Paolo Galeone is a Head of Software Engineering with 13 years of experience blending machine learning research, computer vision, and backend engineering to deliver production-grade systems. Based in Emilia-Romagna, Italy, he leads technical strategy and scaling at ZURU Tech, driving architecture, CI/CD, and engineering culture while previously heading ML & CV R&D for industrial automation and BIM. A computer engineer by training and a lifelong Linux/Open Source advocate, Paolo has made notable contributions to Go and ML ecosystems—helping extend the popular GORM ORM and building tfgo (TensorFlow for Go) with image-processing primitives. He pairs deep academic roots in deep learning with hands-on systems expertise (C++, Unreal Engine, PostgreSQL, TensorFlow, Go), and is known for modernizing legacy codebases and introducing RFC-driven engineering practices. Colleagues describe him as a pragmatic researcher who turns high-dimensional data problems into scalable, maintainable software.
code13 years of coding experience
job8 years of employment as a software developer
bookDiploma Istituto Tecnico e Professionale Ragioniere Programmatore Informatico, Diploma Istituto Tecnico e Professionale Ragioniere Programmatore Informatico at Istituto Tecnico Scaruffi Levi Tricolore
bookLaurea Magistrale LM Ingegneria informatica, Laurea Magistrale LM Ingegneria informatica at Alma Mater Studiorum – Università di Bologna
languagesChinese, Italian, English, French
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Github Skills (30)

python10
go-gorm10
image-processing10
machine-learning10
keras10
go10
deep-learning10
tensorflow10
orm10
database-design10
neural-network10
golang10
artificial-intelligence9
docker-compose9
numpy9

Programming languages (16)

JavaC++RustCCMakeMakefilePLpgSQLGo

Github contributions (5)

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galeone/tfgo

May 2017 - Oct 2022

Tensorflow + Go, the gopher way
Role in this project:
userBack-end Developer
Contributions:138 commits, 28 PRs, 94 pushes in 5 years 5 months
Contributions summary:Paolo primarily contributed to the core functionality of the `tfgo` library, focusing on implementing TensorFlow operations in Go. Their work included adding support for various TensorFlow data types and fundamental operations, such as batching and casting. Furthermore, the user designed an image manipulation library, adding functions to read and process images, and implementing various image processing algorithms.
golanggophermachine-learninggotensorflow
go-gorm/gorm

Apr 2014 - Dec 2014

The fantastic ORM library for Golang, aims to be developer friendly
Role in this project:
userBack-end Developer
Contributions:11 commits, 4 PRs, 17 comments in 8 months
Contributions summary:Paolo contributed significantly to the GORM library, focusing on database interactions and ORM functionalities. Their work includes adding support for primary keys that differ from the standard "id" field and accommodating fields with double quotes. Furthermore, the user implemented support for default values and signed/unsigned integer types as primary keys. These changes enhance the library's flexibility and address various user needs related to database schema design and data handling.
golangsqlgormfantasticdatabase
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Paolo Galeone - Head Of Software Engineering at ZURU Tech