Summary
Jared Burns is an AI Architect with a decade-plus career turning complex data into actionable insight, blending hands-on engineering with strategic cloud architecture across GCP and AWS. He specializes in production ML—classification, regression, computer vision, and NLP—built on BigQuery, Postgres, Spark, Beam, and Airflow, and codes primarily in Python, R, SQL, and Java. Jared has led enterprise Generative AI and ML initiatives, translating executive objectives into scalable, revenue-focused technical strategies and delivering training to accelerate internal adoption. His background spans consulting and retail analytics, giving him a practical edge in applying econometric and forecasting techniques to business problems. Based in Milwaukee, he pairs certified cloud expertise with a master's in economics, which helps him balance model rigor with measurable business impact. A detail that sets him apart: he routinely combines time-series and econometric thinking from his load-forecasting and retail analytics roots when architecting modern ML pipelines.
8 years of coding experience
10 years of employment as a software developer
B.S., Economics, B.S., Economics at University of Wisconsin-Madison
M.A., Economics, M.A., Economics at University of Wisconsin-Milwaukee