Summary
Jackson Argo is a Production Engineer with 11 years of experience building reliable, scalable data systems and turning messy data into actionable insights. He has driven end-to-end engineering at fast-moving companies—most recently Meta and previously StarTree, Discord, and Slack—spanning real-time analytics, ETL, observability, and full-stack feature delivery. Comfortable across Golang, Java, TypeScript/React, Kubernetes and Spark, he repeatedly owns deployments, observability, QA, and cross-team product alignment. He blends hands-on engineering with mentorship and technical advocacy, having led architecture efforts, onboarded interns, and presented product deep dives to stakeholders. A UC Berkeley Data Science master’s graduate with a math BS, he pairs rigorous quantitative training with practical production experience. Jackson is also focused on the ethics and transparency of AI/ML systems, aiming to build trustworthy data-driven products.
11 years of coding experience
10 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at UC Berkeley School of Information
University of Georgia
English, Spanish, Japanese