Michele Zanotti
Software Engineer at Mistral AI
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolMichele Zanotti is a pragmatic software engineer with 8 years of experience building and scaling cloud-native AI platforms, currently at Mistral AI after co-founding and growing Nebuly to 100k+ daily users. He combines hands-on coding, architecture and security ownership—leading SOC-2 and ISO-27001 efforts and automating multi-cloud deployments for GCP, AWS and Azure. His work spans ML infra and model optimization (notably contributing to nebuly-ai/optimate and authoring nos, a k8s operator for GPU optimization), enabling reproducible ML pipelines and faster dev-to-prod cycles. Fast-learning and adaptable, he thrives in high-velocity teams and moves fluidly between product MVPs and hardened production systems. Outside of tech he’s a classically trained saxophonist and is currently learning Hindi, reflecting a blend of technical rigor and creative curiosity.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Università degli Studi di BresciaMaster's degree Computing, Master's degree Computing at University of NorthamptonHigh school diploma Computer and Information Sciences General, High school diploma Computer and Information Sciences General at I.I.S. Grazio CossaliConseguimento degli studi di fascia pre-accademica Music, Conseguimento degli studi di fascia pre-accademica Music at Conservatorio di Musica Luca Marenzio di BresciaMaster's degree Computer Engineering, Master's degree Computer Engineering at Universidade de Coimbra
English, Italian, Portuguese, French, Spanish
Stackoverflow
55reputation
1kreached
6answers
0questions
Github Skills (19)
pytorch10
python10
machine-learning10
large-language-models10
huggingface-transformers10
deep-learning10
ai10
model-optimization10
analytics8
artificial-intelligence8
testing8
istio6
azure6
curl6
go-templates6
Programming languages (10)
Github contributions (5)
nebuly-ai/optimate
Jan 2023 - Jan 2023
A collection of libraries to optimise AI model performances
Role in this project:
ML Engineer
ML EngineerContributions:1 commit, 10 PRs, 2 issues in 1 day
Contributions summary:Michele primarily contributed to the optimization of AI model performance, as suggested by the repository description and topics. Their commits focus on adding and modifying classes related to inference learners, specifically for HuggingFace models and StableDiffusion, and developing utility functions to support model analysis. They also introduced model adapter classes to integrate and process data for optimized model inference.
pypicompilertensorflowtransformersedge-computing
orobix/terraform-provider-azureml
Nov 2021 - Aug 2022
Contributions:82 commits, 26 PRs, 50 pushes in 9 months
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