Federica Comuni is a Lead Data Engineer with eight years of experience building data-driven solutions across automotive and defense industries, currently based in the Greater Malmö area and on maternity leave. She combines hands-on data engineering and data science expertise from roles at Saab, Combitech and Volvo Cars, where her master's and thesis work applied deep learning and active learning to model aggressive driving in EVs. Federica's background includes applied research into NLP for early Alzheimer's detection and practical Edge AI projects, reflecting a blend of academic rigor and production focus. Known for a continuous-learning mindset, she mentors teams and drives robust ML pipelines that bridge research prototypes to scalable deployments.
8 years of coding experience
Bachelor of Science - BS, Software Development, Bachelor of Science - BS, Software Development at Högskolan Kristianstad
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at University of Gothenburg
Accuracy comparison of a Bayesian Network and an LSTM in detecting Alzheimer's symptoms on the Pitt Corpus: https://dementia.talkbank.org/access/English/Pitt.html
Contributions:160 commits, 7 PRs, 81 pushes in 2 years 3 months
Comparison of Covid19 cases in Sweden and Italy and Sweden and other nordic countries
Contributions:2 PRs, 203 pushes, 2 branches in 1 year 4 months
casescomparisonnordicmachine-learningsweden
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