Rafał Rolczyński

Machine Learning Engineer at Resonate Recordings

Warsaw, Masovian Voivodeship, Poland
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster of Engineering (MEng), Computer Science, Master of Engineering (MEng), Computer Science at Polish-Japanese Academy of Information Technology
bookThe year-long exchange program (Civil Engineering), The year-long exchange program (Civil Engineering) at Institut national des Sciences appliquées de Lyon
bookMaster of Engineering (MEng), Civil Engineering, Master of Engineering (MEng), Civil Engineering at Gdańsk University of Technology
languagesFrench, English, Polish
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Github Skills (32)

transformers10
speech-to-text10
python10
nltk10
aspect10
machine-learning10
distill10
automatic-speech-recognition10
fasttext10
sentiment-analysis10
transformer-models10
sentiment10
deep-learning10
speech10
gpu10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Contributions:215 commits, 7 PRs, 95 pushes in 1 year 7 months
bertsentiment-analysistensorflownatural-language-processingexplainable-ml
🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)
Contributions:237 commits, 6 PRs, 150 pushes in 1 year 7 months
deepspeechseq2seqspeech-to-textrecognitionseq2seq-tensorflow
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Rafał Rolczyński - Machine Learning Engineer at Resonate Recordings