Lorenzo Borelli
AI Engineer at Namirial Group
Zola Predosa, Emilia-Romagna, Italy
Summary
👤
Senior🎓
Top SchoolLorenzo Borelli is an AI Engineer with nine years of software development experience, blending academic training in artificial intelligence from the University of Bologna with hands-on engineering roles across consulting and industry. He has progressed from internships and software development to AI-focused positions at BIP and now Namirial Group, bringing practical experience deploying ML-infused solutions in enterprise contexts. Lorenzo contributes to open-source interoperability work—extending Ivy to bridge TensorFlow, PyTorch and NumPy operations—which reflects a focus on cross-framework compatibility and rigorous testing. Comfortable across the ML stack, he pairs software engineering discipline (unit and E2E testing experience from CINECA and GECOsistema) with model-centric development, making him effective at translating research ideas into reliable production components. Based in Zola Predosa, Italy, he combines a methodical engineering mindset with a curiosity for expanding tooling that eases ML portability.
9 years of coding experience
3 years of employment as a software developer
Postgraduate education Artificial intelligence, Postgraduate education Artificial intelligence at Alma Mater Studiorum – Università di Bologna
Stackoverflow
127reputation
6kreached
4answers
8questions
Github Skills (19)
ivy10
pytorch10
python10
converter10
machine-learning10
numpy10
deeplearning-ai10
deep-learning10
tensorflow10
testing9
transcode9
transpiler9
decimal6
exec6
eval6
Programming languages (8)
Github contributions (5)
ivy-llc/ivy
Feb 2023 - May 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 4 PRs, 14 comments in 2 months
Contributions summary:Lorenzo contributed to the project by implementing and testing functionalities for various machine learning frameworks. They added support for TensorFlow's `clip_by_global_norm` function and implemented the `take` operation for PyTorch. Additionally, the user worked on adding and testing pooling functions for PyTorch and NumPy, including `lp_pool1d` and `lp_pool2d`. This work demonstrates a focus on expanding framework compatibility and testing within the Ivy ecosystem.
pythontensorflowframework-learningtemplatedata-science
Plutone11011/GameReqsAPI
May 2020 - Feb 2021
An API to expose Steam games' system requirements. Currently in its first iteration.
Contributions:59 commits, 8 PRs, 42 pushes in 8 months
apisteamworksgamessteam-apiexpose
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