Lodovico Giaretta
AI TOOLS&TECH Co-Lead at Mimer AI Factory
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolLodovico Giaretta is an AI researcher and engineering lead based in Stockholm with a decade of experience building decentralized and graph-based machine learning systems. As Senior AI Researcher at RISE and Co-Lead of AI Tools&Tech at Mimer AI Factory, he spans the full project lifecycle from grant writing and ideation to hands-on implementation, evaluation and stakeholder communication. His expertise includes scalable LLM techniques (parallelization, quantization, PEFT, distillation), distributed/federated learning across edge–fog–cloud topologies, and graph neural networks and transformers. He pairs rigorous academic training (PhD and MSc from KTH) with practical DevOps and backend experience, contributing maintenance and integration fixes to notable open-source projects such as Hyperledger Indy’s SDK. Comfortable translating complex research into tutorials and industrial solutions, he often focuses on computationally efficient model adaptations and hybrid peer-to-peer training strategies that reduce dependency on centralized infrastructure.
10 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Università di TrentoDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at KTH Royal Institute of TechnologyMaster's degree Computer Science, Master's degree Computer Science at Technische Universität Berlin
Italian, English
Github Skills (9)
rust10
dockers9
cicd9
docker9
build-system8
python8
apidoc7
api7
zkp5
Programming languages (10)
Github contributions (5)
hyperledger-indy/indy-sdk
Apr 2018 - May 2018
indy-sdk
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:11 commits, 4 PRs, 16 comments in 29 days
Contributions summary:Lodovico primarily contributed to the `indy-sdk` repository by addressing build and integration issues, alongside making enhancements to the core codebase. They fixed import issues, refactored directory structures, and merged updates from the master branch. Additionally, the user updated the Amazon Dockerfile, demonstrating involvement in the repository's DevOps infrastructure and build processes. These contributions suggest a focus on code maintenance and system-level aspects of the project.
ssizkpindy-sdksdkindy
lodo1995/experimental.xml
Jul 2016 - Nov 2016
A replacement of Phobos std.xml
Contributions:3 releases, 48 commits, 3 PRs in 3 months
xmlphobosstdreplacement
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