Industrial Postdoc at KTH Royal Institute of Technology
Stockholm, Sweden
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Summary
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Marco Capuccini is an industrial postdoc and applied machine learning engineer with 11 years of experience building cloud-native ML systems for life sciences, aerospace and micromobility. He holds a PhD in Scientific Computing and an MSc in Bioinformatics, and bridges academic research with production deployments—designing uncertainty-aware models, federated and privacy-preserving training, and large-scale MLOps on Kubernetes and major cloud providers. At Voi and KTH he focuses on AI for safety in micromobility, while previous roles include space-focused cloud-native frameworks at Unibap and confidential computing work with Scaleout. Comfortable from model research to edge and mobile deployment, he also mentors teams and has a track record of tooling for reproducible cloud bioinformatics (notably contributing to KubeNow). Based in Stockholm, he combines deep technical breadth with hands-on product delivery across constrained and safety-critical environments.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Computer Science, 110/110, Bachelor of Science (BS), Computer Science, 110/110 at Sapienza Università di Roma
Doctor of Philosophy - PhD, Scientific Computing, Doctor of Philosophy - PhD, Scientific Computing at Uppsala University
Terraform module to deploy Apache Spark, with Tensorflow and NVIDA support.
Contributions:21 releases, 75 PRs, 100 pushes in 1 year 5 months
apachesparkapache-sparktensorflowaws
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Marco Capuccini - Industrial Postdoc at KTH Royal Institute of Technology