Devyn Miller
Big Data ML Engineer, TP-Link Systems Adjunct Professor, Chapman University
Devyn Miller is a Big Data ML Engineer at TP-Link Systems and an Adjunct Instructor at Chapman University. She builds production IoT data pipelines with industry tools such as EMR, PySpark, Glue, Athena, and ClickHouse, and teaches Linux and computational economics. With graduate training in Electrical Engineering and Computer Science and in Behavioral and Computational Economics, she marries technical rigor with human-centered judgment. Devyn mentors students and career changers on shipping value-first portfolios, writing outcome-driven resumes, and turning vague requests into clean, reproducible analyses that nontechnical stakeholders trust. Her work spans applied machine learning and Bayesian modeling, and her projects have earned academic honors and hackathon awards. She speaks on humane analytics, career strategy, and trustworthy ML. Devyn hosts Soft Reset, a short podcast on wellbeing and work, and keeps a public portfolio of projects and talks focused on clarity, reproducibility, and impact.
Sessions
Cross-Disciplinary Advantage: Build a Data Career That Stands Out
Turn your mixed background into a hiring advantage. Learn how to translate domain expertise into data assets, design a portfolio that proves value, communicate outcomes in plain English, and target roles where your combination of skills solves problems others miss.