Jimena Arruti
Teaching Assistant (Gr. 2) - Music And Technology Area, Institute Of Music, Faculty Of Arts at Universidad de la República
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJimena Arruti is a Signal Processing and Machine Learning engineer with nine years of experience at the intersection of R&D, teaching, and music technology, currently pursuing an MSc in Sound and Music Computing at Queen Mary University of London. She has built production-ready AI and audio tools—spanning Python, C/C++, TensorFlow/PyTorch, Librosa and real-time audio tools—and led research and development projects from pose-based movement analysis to radio signal classification. As a university lecturer and teaching assistant she designs syllabi and hands-on labs that demystify acoustics, programming and sound design for diverse student audiences, and has contributed to open research tooling such as the Carat rhythm analysis Python library. A practicing musician and songwriter, she blends artistic insight with technical rigor to create sonically informed ML systems and educational materials. Colleagues describe her strength in translating complex signal-processing concepts into accessible learning experiences and practical tooling used in both art and industry.
9 years of coding experience
5 years of employment as a software developer
Introduction to music, classical guitar, Introduction to music, classical guitar at Escuela Universitaria de Música UniversityBachelor's degree, Electrical engineering - Signal processing and Machine learning, Bachelor's degree, Electrical engineering - Signal processing and Machine learning at Universidad de la RepúblicaMaster of Science - MS, Sound and Music Computing, Master of Science - MS, Sound and Music Computing at Queen Mary University of London
English, Spanish, Italian, Portuguese
Github Skills (11)
music-information-retrieval10
audio10
mir10
music10
retrieval9
datasets9
crossword8
python8
toolbox7
information-retrieval7
map-matching5
Programming languages (1)
Github contributions (5)
jimearruti/mirdata_candombe_dataset
Jun 2022 - Nov 2023
Python library for working with Music Information Retrieval datasets
Contributions:15 pushes in 1 year 5 months
python-librarypythonmusic-informationretrievalinformation-retrieval
jimearruti/yin
Dec 2016 - Aug 2017
Contributions:44 pushes, 1 branch in 7 months
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