Portfolio

Research notebooks, projects, and technical work exploring music technology, MIR, and deep learning

Research Notebooks

Interactive Jupyter notebooks exploring music technology, MIR, and deep learning

Research

Arab-Andalusian Motif Development Analysis

Computational analysis of melodic centos (motifs) in Arab-Andalusian music. This notebook explores motif development patterns in traditional Iraqi Ajam repertoire, analyzing the distribution and frequency of melodic patterns across musical scores using music21 and pandas.

Jan 2022

20 min

jupyter python music-analysis

View Notebook

Featured Projects

Technical projects and research work

Research 2023

Uncovering High-Level Content in the Time Domain

Leveraging self-supervised deep neural networks for deep audio embeddings applied to boundary detection. Research conducted at Epidemic Sound focusing on automatic music segmentation.

Zenodo GitHub

Research 2022

Arab-Andalusian Motif Development

Towards a systematic exploration of motif development in Arab-Andalusian Music. Computational musicology research analyzing traditional musical patterns and their evolution.

GitHub Paper

Product 2023 - Present

My Sheet Music Transcriptions Platform

Leading R&D and product development for an AI-powered music transcription platform. Driving innovation in automatic music transcription using state-of-the-art deep learning models.

Development 2022 - 2024

MIR Toolkit Development

Development of internal tools and libraries for music information retrieval tasks, including audio feature extraction, similarity analysis, and metadata generation.

View All Projects

About This Portfolio

This portfolio showcases my research notebooks, technical projects, and experiments in music technology, MIR, and deep learning. All code is executable and reproducible.

What you'll find:

📓 Research Notebooks - Interactive Jupyter notebooks with full outputs and visualizations
🔬 Technical Projects - Code repositories and implementations
📊 Experiments - Explorations in music technology and MIR
💻 Open Source - All code available on GitHub

For interactive versions or to run the code yourself, visit my GitHub repository.