Giovanni Lorenzini
Platform Team Lead
Greater Trento Metropolitan Area Italy
Summary
👤
Senior🎓
Top SchoolGiovanni Lorenzini is a platform engineering leader and machine learning practitioner with a decade of hands-on experience building production systems from embedded firmware to cloud platforms. Currently Platform Team Lead at Smartness, he progressed rapidly through ML and senior engineering roles, blending model-driven development with platform reliability. Trained in Artificial Intelligence Systems and Information Engineering at Università di Trento, he pairs academic ML foundations with practical skills in .NET, REST APIs, container virtualization (Proxmox), and embedded STM32 firmware. His background includes industrial automation, CNC configuration and CAD rendering, giving him a rare cross-disciplinary view of hardware-software integration and manufacturable product workflows. Known for moving quickly from prototype to production, he often bridges gaps between data science, backend infrastructure, and on-device control systems. Based in the Trento area, he maintains a public portfolio at www.lorenzinigiovanni.com that surfaces his practical projects and engineering breadth.
10 years of coding experience
5 years of employment as a software developer
Laurea Magistrale LM, Artificial Intelligence Systems, Laurea Magistrale LM, Artificial Intelligence Systems at Università di TrentoDiploma Istituto Tecnico e Professionale, Elettronica e Automazione, Diploma Istituto Tecnico e Professionale, Elettronica e Automazione at ITT Marconi Rovereto
English, German
Stackoverflow
26reputation
372reached
2answers
0questions
Github Skills (24)
determinant6
decorators6
scanf6
pdf-files6
matrix6
ros5
pdf-generation5
python-modules5
generator5
pdf5
logistics5
robotics5
testing4
multi-agent4
instrumentation4
Programming languages (3)
Github contributions (5)
lorenzinigiovanni/ristorante
Jun 2019 - Jul 2024
Contributions:7 pushes, 1 branch in 5 years 1 month
lorenzinigiovanni/logistics-robots
Oct 2022 - Dec 2022
ROS 2 implementation of a logistics network of robots for testing multiple multi-agent pathfinding algorithms in simulated and real environments.
Contributions:4 reviews, 55 commits, 22 PRs in 2 months
gazeboroboticsagentros2testing
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