Phillip Huff is a Staff Software Engineer with 12 years of experience building scalable, data-heavy systems across Amazon Alexa, Microsoft, and healthcare and education tech startups. He combines a strong Java/C# backend pedigree with hands-on ML, Hadoop, and NLP experience, having processed terabytes of Alexa data and built high-throughput pipelines. Phillip has driven architecture and observability improvements that yielded 100x scaling gains and led cross-functional initiatives to remediate security and availability risks. He is interested in research-driven approaches—genetic neural networks, ensemble boosted learning, and description logics—and published open-source tools for large-scale game data analysis (magicsim/atmasim). Based in Massachusetts, he now focuses on ingesting and normalizing complex partner data using Python, TypeScript, MongoDB, and AWS at scale.
12 years of coding experience
12 years of employment as a software developer
High School, High School at Montpelier High School
Bachelor's Degree Computer Science with Departmental Honors with minor in Philosophy, Bachelor's Degree Computer Science with Departmental Honors with minor in Philosophy at Stony Brook University
Contributions:10 pushes, 1 branch in 4 years 1 month
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Phillip Huff - Staff Software Engineer at InStride