Anna Kramarska is a software and data science engineer with 8 years of experience building production-ready systems that translate research and AI into practical impact. Based in Warsaw, she currently develops ScanForm at QED.ai, creating robust pipelines for extracting structured data from handwritten forms and shipping features like custom caching, location-based visualizations, and complex notification systems for humanitarian projects. Her background spans secure engineering at Google, IoT integration with Azure, and Java backend development, giving her a broad full-stack foundation. Anna also completed an MS thesis at KU Leuven applying variational autoencoders to correct batch effects in spatial multi-omics, bridging deep learning research and bioinformatics. She’s driven by a pragmatic need to make things actually useful, favoring solutions that deliver measurable value in challenging real-world settings. Colleagues describe her as the kind of engineer who pairs academic rigor with production sensibility to move projects from prototype to reliable deployment.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at KU Leuven
Bachelor of Science - BS, Computer Science, 4.0, Bachelor of Science - BS, Computer Science, 4.0 at University of Warsaw
Contributions:2 PRs, 41 pushes, 1 branch in 3 years 7 months
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Anna Kramarska - Software And Data Science Engineer