John Miller is a Senior Data Scientist with 9 years of experience building production ML systems and data pipelines, currently focused on real-time threat detection and large-scale reputation scoring at ExtraHop. He conceived and led development of an entropy-based ransomware detector and architected an AWS Glue pipeline capable of processing billions of records, pairing research instincts with production-grade engineering. Previously he accelerated analytics and model deployment at ZoomInfo and Billups—reducing manual work, improving company estimates, and shepherding migrations to SageMaker and Databricks. His background in experimental neuroscience and signal processing informs a rigorous, measurement-driven approach to noisy, real-world data. An active Python developer, he maintains open-source tooling for lyric scraping and sentiment analysis, signaling a playful curiosity about language and culture alongside his security-focused work.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Physics minor in English, Bachelor of Arts (BA) Physics minor in English at Goshen College
Master of Science (MS) Electrical and Computer Engineering, Master of Science (MS) Electrical and Computer Engineering at University of Iowa
Download song lyrics and metadata from Genius.com 🎶🎤
Role in this project:
Back-end Developer
Contributions:6 releases, 34 reviews, 314 commits in 5 years 5 months
Contributions summary:John primarily contributed to the development of a Python-based application focused on retrieving lyrics and metadata from the Genius.com API. The commits show the addition of code to interact with the Genius API, build a class structure for Song and Artist objects and related data. They also implemented functionality to download lyrics, save them to various file formats, and measure the sentiment of the lyrics.
Contributions:46 commits, 11 PRs, 31 pushes in 1 year
spoonacularapipythonapikeypython-wrapper
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