Alicja Gosiewska is a Senior AI Research Engineer based in Warsaw with over a decade of experience and 5+ years focused on applied data science and machine learning research. She combines strong mathematical and statistical foundations (BSc Mathematics, MSc Mathematical Statistics) with hands-on expertise in explainable AI, interpretable ML, AutoML, NLP and data visualization using Python and R. Her career spans research-driven roles and industry projects—from auditability of predictive models and credit scoring explainability to NER and weak supervision for document corpora—most recently at Synerise. As a PhD candidate and former visiting scholar at UC Davis, she brings academic rigor to production problems, often prioritizing model interpretability and regulatory-ready solutions. Colleagues value her ability to translate complex statistical concepts into actionable, auditable pipelines that bridge research and business impact.
10 years of coding experience
6 years of employment as a software developer
Visiting Scholar, Visiting Scholar at University of California, Davis
Master's degree, Mathematical Statistics and Data Analysis, Master's degree, Mathematical Statistics and Data Analysis at Warsaw University of Technology
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Warsaw
Contributions:114 commits, 7 PRs, 166 pushes in 6 months
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Alicja Gosiewska - Senior AI Research Engineer at Synerise