Summary
Lilly Neff is an AI Engineer with nine years of software experience focused on Python-driven machine learning, computer vision, and generative modeling, currently contributing to AI initiatives at Collibra. She has built end-to-end ML solutions from data preprocessing to model training, including audio-to-MIDI conversion and convolutional models for automatic music transcription with notably low RMSE. Her background includes hands-on ML engineering at startups and enterprise settings, where she accelerated data generation workflows (reducing times by ~88%) and shipped predictive models. Trained through Udacity nanodegrees in programming and machine learning, she pairs practical engineering skills with a creative foundation from a BA in Fashion Merchandising. Based in Virginia, Lilly blends multidisciplinary problem solving with production-focused ML implementation, often working at the intersection of audio, vision, and generative approaches.
8 years of coding experience
3 years of employment as a software developer
Introduction to Programming Nanodegree, Python, SQL, Introduction to Programming Nanodegree, Python, SQL at Udacity
Bachelor of Arts (B.A.), Fashion Merchandising, Bachelor of Arts (B.A.), Fashion Merchandising at Virginia Commonwealth University
English, Chinese