Summary
Norman Casagrande is a Staff Research Engineer in San Francisco with 18 years of experience applying machine learning to large-scale NLP, text-to-speech, and recommendation systems. At DeepMind and previously Google and Last.fm, he has built production-grade, highly scalable real-time services and pioneered components like WaveNet-based TTS and large language model deployments. He writes elegant, performance-focused C++ and Python code, is fluent with TensorFlow and JAX, and has a track record of turning research into robust systems for high-volume processing. His background includes MLSci studies at Université de Montréal and foundational work in MIR, fingerprinting, and custom databases for fast access. Colleagues know him for making things both fast and beautiful technically, and for preferring in-person professional connections.
18 years of coding experience
13 years of employment as a software developer
Master of Science, Computer Science and Machine Learning, Master of Science, Computer Science and Machine Learning at Université de Montréal
Medie
Bachelor, Computer Science, Bachelor, Computer Science at University of Applied Sciences Southern Switzerland (SUPSI)
Italian, English, French, German