Giulia Crocioni
Senior Software Engineer at Proxima
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolGiulia Crocioni is a Senior Software Engineer with six years of experience specializing in applied machine learning, geometric deep learning, and production-grade research software. She has driven open-source deep learning frameworks and HPC-optimized workflows at the Netherlands eScience Center, bridging research and deployment with CUDA acceleration, SLURM, Docker, and robust DevOps practices. Her background in biomedical engineering and bioengineering (Politecnico di Milano and University of Illinois at Chicago) informs work on time-series and biomedical signal models, including RNN quantization for microcontrollers at STMicroelectronics. At Allianz she scaled ML pipelines and deployed multiple supervised models monthly, and she’s led project proposals, workshops, and mentorship across academic and industry settings. Now based in Amsterdam and currently with Proxima, she combines hands-on implementation skills (PyTorch, PyG, Gymnasium) with an eye for reproducibility and FAIR principles, often surfacing research ideas into production-ready tools. An often-overlooked strength is her ability to translate complex biomedical signal processing into efficient, embedded and cloud-deployable ML systems.
6 years of coding experience
5 years of employment as a software developer
Diploma, Diploma at Liceo Scientifico G. AlessiMaster of Science - MS Biomedical Engineering BTE (Biomedical Technologies for Electronics), Master of Science - MS Biomedical Engineering BTE (Biomedical Technologies for Electronics) at Politecnico di MilanoSecond Level Master Degree Big Data Science, Second Level Master Degree Big Data Science at CEFRIEL - Politecnico di MilanoMaster of Science - MS Bioengineering, Master of Science - MS Bioengineering at University of Illinois Chicago
English, Italian, Spanish
Github Skills (92)
python10
forge10
deep-learning10
gpu10
genomics10
convolutional-neural-networks10
structural-biology10
conda10
explainable-artificial-intelligence10
docking10
machine-learning10
boilerplate10
software-design9
conda-forge9
numpy9
Programming languages (6)
Github contributions (5)
DeepRank/3D-Vac
May 2022 - Dec 2024
Personalized cancer vaccine design through 3D modelling boosted geometric learning.
Contributions:1 release, 5 reviews, 20 PRs in 2 years 7 months
3d-modelling3d-modelsvaccinecomputer-graphicscancer
carpentries-incubator/gen-ai-coding
Sep 2024 - Dec 2024
AI-assisted Coding with Codeium / GitHub Copilot
Contributions:10 reviews, 17 PRs, 59 pushes in 2 months
carpentries-incubatorcodeiumenglishgen-aigithub-copilot
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