Summary
Paul Gigioli is a Senior Machine Learning Engineer with a decade of experience building production ML systems across industry leaders like Spotify and AWS. He blends research-rooted expertise in computer vision and NLP—honed at Stanford and PwC—with practical deployment skills for large-scale recommendation and infrastructure services. At Spotify he progressed from Machine Learning Engineer to senior roles, reflecting a track record of shipping robust models in product environments. His background includes robotics, real-time perception, and applied deep learning proof-of-concepts such as summarization and retrieval systems, signaling a comfort moving ideas from prototype to production. Based in the New York City area, he maintains an active public portfolio (github and personal site) that surfaces both research projects and engineering-focused implementations. Notably, his early cross-disciplinary work in international development and systems engineering gives him a pragmatic, systems-oriented perspective on solving complex real-world problems.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Mechanical Engineering, Bachelor of Science (B.S.), Mechanical Engineering at University of Notre Dame
Spanish