Lorenzo Bertoni
Senior Applied Scientist at Wayve
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLorenzo Bertoni is a Senior Applied Scientist in London with eight years of experience at the intersection of machine learning research and autonomous driving, currently advancing generative AI efforts at Wayve. He holds a PhD in Electrical Engineering (Machine Learning) from EPFL and has blended deep technical work with product management and strategy consulting, giving him a rare ability to translate research into product impact. Lorenzo has contributed to prominent open-source computer vision tooling such as OpenPifPaf—adding dataset adaptability and ApolloCar3D support—reflecting hands-on expertise in pose and vehicle perception. His background includes MPC-focused research at UC Berkeley and industry experience from consulting to teaching, signaling both academic rigor and pragmatic delivery. Notably, he moves fluidly between research, engineering, and product roles, making him effective at shipping applied ML systems for real-world autonomy.
8 years of coding experience
3 years of employment as a software developer
Master Thesis Autonomous Vehicles - Model Predictive Control, Master Thesis Autonomous Vehicles - Model Predictive Control at University of California, BerkeleyMaster’s and Bachelor Degree Energy and Nuclear Engineering, Master’s and Bachelor Degree Energy and Nuclear Engineering at Politecnico di TorinoMaster’s Degree Mechanical and Mechatronic Engineering, Master’s Degree Mechanical and Mechatronic Engineering at University of Illinois ChicagoArtificial Intelligence, Artificial Intelligence at Pi SchoolDoctor of Philosophy - PhD Electrical Engineering - Machine Learning, Doctor of Philosophy - PhD Electrical Engineering - Machine Learning at EPFL
English, Italian
Stackoverflow
1reputation
0reached
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Github Skills (10)
computer-vision10
pytorch10
deeplearning-ai10
deep-learning10
python10
human-pose-estimation10
machine-learning9
api8
apim8
api-design8
Programming languages (3)
Github contributions (5)
openpifpaf/openpifpaf
Oct 2020 - May 2021
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 8 commits, 8 PRs in 7 months
Contributions summary:Lorenzo primarily focused on enhancing the OpenPifPaf library, making it adaptable for different datasets, especially for computer vision tasks, like human and vehicle pose estimation. Their contributions include modifying the code to support dataset-dependent score weights, implementing a new plugin for the ApolloCar3D dataset. Further contributions include documentation and guide enhancements for using the library.
pytorchkeypoint-detectionopenpifpafassociationdeep-learning
vita-epfl/monoloco
Jun 2019 - Mar 2022
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Contributions:27 releases, 6 reviews, 218 commits in 2 years 8 months
pifpafopenpifpafsocial-distancingorientation3d-detection
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