Summary
Maria Panteli is a Machine Learning Engineer with 11 years of experience designing and shipping production recommender systems and search solutions across media platforms. She has driven personalization and ML infrastructure at Spotify, DPG Media België and the BBC, combining research-grade audio and music-similarity expertise with cloud-native deployments on AWS and GCP using Kubernetes, Spark, Scala and Python. Her background includes a PhD in Computer Science and interdisciplinary work in music and sound computing, which informs novel approaches to content-based recommendation and evaluation. Comfortable spanning research, API maintenance and ML ops, she’s known for turning academic insights into scalable products for news, video and music.
11 years of coding experience
7 years of employment as a software developer
Data Science, Data Science at European Semantic Web Conference Summer School
Bachelor of Science (BSc), Mathematics, First-class honours, Bachelor of Science (BSc), Mathematics, First-class honours at University of Bath
Master of Science (MSc), Music and Sound Computing, Master of Science (MSc), Music and Sound Computing at Universitat Pompeu Fabra
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of London