Manuele Sigona
Machine Learning Engineer at Fetch.ai
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolManuele Sigona is a Machine Learning Engineer with nine years of experience and over five years focused on building, optimizing and debugging ML models with a specialty in memory- and performance-constrained deployments. He has hands-on experience fine-tuning and running large transformer models (including Flan-T5 XXL) on novel hardware, having implemented end-to-end inference and fitting strategies for Graphcore IPUs. His background spans low-level optimisation—down to custom CUDA kernels and assembly tweaks—as well as higher-level ML platform work, enabling customers to port and reliably run models in production. Previously he contributed to performance-focused model engineering at a leading AI company before joining Fetch.ai, and he combines strong academic results in electronics and physics with practical systems skills. As a digital nomad based in London, he seeks fully remote roles where he can push LLM capabilities while continuing to follow and adopt the latest advances in the field.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Physics, First-class Honours, Bachelor's degree, Physics, First-class Honours at The Open UniversityMaster's degree, Electronics Engineering, 110/110 magna cum laude, Master's degree, Electronics Engineering, 110/110 magna cum laude at Università degli studi di Genova
Italian, English
Github Skills (37)
python10
simulator10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
computer-vision9
unreal-engine-49
simulation9
imitation-learning9
acceleration9
autograd9
tensorflow9
tensor9
Programming languages (4)
Github contributions (5)
ManueleSigona/optimum-graphcore
Feb 2022 - Jun 2022
Contributions:28 pushes, 2 branches in 3 months
ManueleSigona/skip
Mar 2017 - Apr 2017
Contributions:9 pushes, 3 branches in 14 days
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