Filip Ryzner

Machine Learning Engineer II at Klarity

Filip Ryzner is a skilled Machine Learning Engineer II currently working at Klarity, where responsibilities include developing AI-powered document workflow automation solutions utilizing Large Language Models and Large Vision Models. Notable technical achievements include training an in-house signature detection pipeline, pioneering LLM-powered fuzzy data-matching and semantic search features, and leading the company’s first end-to-end automated implementation. Filip's background encompasses research roles at the Massachusetts Institute of Technology and experience as a Machine Learning Researcher at Resistant AI, where efforts improved detection models and reduced false positives. With a strong educational foundation in Applied Mathematics and Computer Science from prestigious institutions, Filip possesses a robust skill set in machine learning, optimization, and data science across diverse industries.

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