Lorenzo Mambretti
Kitchener, Ontario, Canada
Summary
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SeniorLorenzo Mambretti is a Principal Software Developer with nine years of experience building performant algorithms and ML systems, currently leading engineering efforts at Augmenta from Kitchener, Ontario. He combines a strong mathematical foundation (B.S. in Mathematics and Scientific Computation, UC Davis) with hands-on expertise in C++, Python, and Go to deliver graph pathfinding, optimization, and computer vision solutions for generative design and robotics. Lorenzo has progressed through roles from Machine Learning Developer to Principal, designing efficient search algorithms and leading teams to productionize deep learning and reinforcement learning models. He is fluent in TensorFlow, PyTorch, and OpenCV and has a track record of applying those tools to real-world defect detection and construction-focused generative systems. Notably, he co-founded and led the AI club at UC Davis, guiding projects like an AlphaZero implementation—an early sign of his blend of research curiosity and pragmatic engineering.
9 years of coding experience
Github Skills (24)
simulation10
sandbox10
biology10
python10
evolution10
csharp10
machine-learning9
tensorflow9
neural-network9
deep-learning9
science9
deep-neural-networks8
ml8
godot8
game-engine7
Programming languages (3)
Github contributions (5)
LorenzoM1997/magic-square-of-squares
Sep 2019 - Feb 2024
Contributions:16 pushes, 1 branch in 4 years 5 months
LorenzoM1997/Deep-tic-tac-toe
Jan 2018 - Dec 2020
A DDQN implementation in Tensorflow for solving the game of tic tac toe
Contributions:22 commits, 1 PR, 44 pushes in 3 years
tensorflow
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