Rafał Rolczyński is a Machine Learning Engineer with nine years of experience building production-ready NLP and speech systems, currently leading disfluency recognition and automated podcast editing at Resonate Recordings. He has shipped end-to-end solutions—from problem formulation and annotation guideline design to prototyping and deploying models ranging from CNNs to Wav2Vec—bringing research into practical products. Past projects include aspect-based sentiment analysis for a New York hedge fund and deep speech-to-text work for Polish and English, reflecting strong cross-domain expertise in document understanding, NER, and time-series forecasting. Trained in both civil engineering and computer science, he combines analytical rigor with applied ML instincts, maintains a technical blog, and presents a hands-on applied scientist approach that favors deployable, data-centered solutions.
9 years of coding experience
4 years of employment as a software developer
Master of Engineering (MEng), Computer Science, Master of Engineering (MEng), Computer Science at Polish-Japanese Academy of Information Technology
The year-long exchange program (Civil Engineering), The year-long exchange program (Civil Engineering) at Institut national des Sciences appliquées de Lyon
Master of Engineering (MEng), Civil Engineering, Master of Engineering (MEng), Civil Engineering at Gdańsk University of Technology
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Rafał Rolczyński - Machine Learning Engineer at Resonate Recordings