Lorenzo Mammana
AI Engineer at Nebuly
Lallio, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolLorenzo Mammana is an AI engineer with a decade of experience specializing in computer vision and machine learning applied to industrial and agritech imaging. With an MSc in Computer Science from Università degli Studi di Milano‑Bicocca, he builds and productionizes general-purpose and custom vision solutions—contributing to platforms like AI-GO Studio and open-source orchestrators such as Quadra. He bridges data science and software engineering, leading squads and promoting best coding practices to ensure reliable model deployment in Industry 4.0 settings. Recently he’s expanded into LLM work that analyzes other LLMs, combining deep vision expertise with emerging multimodal and large-model tooling. Based in Lombardy, he pairs research-driven foundations in thermal and driver drowsiness analysis with practical microservice and integration experience in enterprise environments.
9 years of coding experience
5 years of employment as a software developer
Laurea Magistrale LM, Informatica, Laurea Magistrale LM, Informatica at Università degli Studi di Milano-BicoccaInformatica e telecomunicazioni, Informatica e telecomunicazioni at ITIS G.Marconi, Dalmine
Italian, English, Spanish
Github Skills (104)
hub10
anomaly-detection10
python10
hyper10
deep-learning10
instance-segmentation10
tflite10
yolov710
optimization10
yolov510
onnx10
yolov810
object-detection10
computer-vision10
cli10
Programming languages (4)
Github contributions (5)
lorenzomammana/py-bach-harmonisation
Jun 2019 - Jul 2019
Contributions:42 commits, 2 pushes in 1 month
orobix/anomalib
May 2023 - Feb 2025
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Contributions:4 reviews, 39 PRs, 62 pushes in 1 year 9 months
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