Nicolò Lucchesi
Committer at Red Hat
Italy
Summary
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Rockstar🎓
Top SchoolNicolò Lucchesi is a software engineer and committer with 11 years of experience focused on high-performance ML and LLM inference. Currently contributing to and committing for vLLM while driving LLM inference optimization at Red Hat, he blends deep academic training (MSc in AI, 110/110 cum laude) with hands-on production engineering. His background spans machine learning engineering at Leica Geosystems and AI software roles in smaller firms, giving him practical expertise in taking models from research to fast, reliable serving. Known for preferring ML that runs fast (and sometimes works too), he specializes in low-latency model serving and systems-level optimizations that matter in production. Based in Italy, Nicolò pairs rigorous theory with pragmatic implementation and a track record of open-source collaboration in the LLM tooling ecosystem.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Artificial Intelligence, 110/110 cum Laude, Master's degree, Artificial Intelligence, 110/110 cum Laude at Università di Pisa
Stackoverflow
56reputation
836reached
5answers
1question
Github Skills (153)
tooling10
python10
toolbox10
simulator10
accelerator10
adreno10
stable-baselines10
process-monitoring10
mlops10
gradio10
image-generation10
deep-learning10
robustness10
nvidia-docker10
ncurses10
Programming languages (10)
Github contributions (5)
NickLucche/vllm
Aug 2024 - Apr 2025
A high-throughput and memory-efficient inference and serving engine for LLMs
Contributions:173 pushes, 42 branches in 7 months
NickLucche/stable-diffusion-nvidia-docker
Aug 2022 - Dec 2022
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
Contributions:57 commits, 14 PRs, 51 pushes in 3 months
nvidia-dockerdockerfileweb-interfacedeep-learninggpu
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