Summary
Kevin Kent is a Senior Data Scientist with eight years of experience applying causal ML, time-series forecasting, anomaly detection, and LLM-based solutions to cloud reliability and AI platform problems. Currently on Microsoft's CoreAI Insights team, he supports data-driven decisions for Azure OpenAI, GitHub Models, and Copilot after leading SRE-focused analytics and incident response work across Azure-hosted Dragon Medical systems. He blends production-scale PySpark/Databricks engineering with research-grade methods—Generalized Random Forests, Regression Discontinuity, Matrix Profile—and builds RAG apps and CI/CD pipelines for internal operational tooling. Kevin pairs technical leadership and mentoring with hands-on infrastructure-as-code and containerized deployments, drawing on prior roles at Nuance and deep academic training in applied computational math and education research. Outside core analytics he co-organizes the Boston useR meetup and completed career-acceleration fellowships, signaling a commitment to community and continued growth. An uncommon thread through his career is translating educational research rigor into practical observability and capacity-planning solutions for complex cloud products.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts (B.A.), Urban Studies, Bachelor of Arts (B.A.), Urban Studies at Hobart and William Smith Colleges
High School, High School at Trinity-Pawling
Masters of Science, Applied and Computational Mathematics, Masters of Science, Applied and Computational Mathematics at Johns Hopkins Whiting School of Engineering
Data Science, Data Science at The Data Incubator
Master of Education (Ed.M), Mind, Brain, and Education, Master of Education (Ed.M), Mind, Brain, and Education at Harvard University Graduate School of Education