Evan Savage is a software engineer with 9 years of experience building web applications, machine learning pipelines, and cloud-backed systems from research prototypes to production. He blends front-end and full-stack expertise with a unique background in music technology—holding an MA from McGill—where he developed ML-driven Optical Music Recognition models and GANs for historical notation. Evan has led engineering teams and shipped conference-scale platforms and multilingual static sites, and has practical experience integrating Dockerized ML jobs into web workflows and timezone-aware event systems. Based in New York, he pairs solid AWS and JavaScript skills with DSP and music production knowledge, allowing him to bridge signal-processing research and user-facing products in creative domains.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Penn State University
Master of Arts - MA Music Technology, Master of Arts - MA Music Technology at McGill University
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