Summary
Cody Braun is a Staff Data Engineer based in Denver with 11 years of experience building production data systems, ML models, and analytics pipelines across startups, campaigns, and enterprise teams. He blends hands-on engineering (Spark, PySpark, Glue, S3, Athena, Kafka) with applied ML—training NLP and clustering models and experimenting with TensorFlow and machine vision in personal projects. Cody has led data teams and products end-to-end: building warehouses, DBT toolkits for rapid voter-list assembly, and RCT-backed targeting strategies during the 2024 election cycle. As CTO of a creator-focused startup he shipped APIs, a data warehouse, and paid product features that drove meaningful MRR, showing he can translate research and models into customer value. He also has a research background in graph modeling and large-scale web crawling from his University of Chicago work, and a creative side evident in a longtime cluttered workbench and a GitHub of ongoing side projects. Pragmatic, politically savvy, and curious, he thrives at the intersection of data infrastructure, ML, and product.
11 years of coding experience
9 years of employment as a software developer
BA, News/editorial journalism and mass communication, BA, News/editorial journalism and mass communication at The University of North Carolina at Chapel Hill
Master's Degree, Computer Science, Master's Degree, Computer Science at University of Chicago
English, Spanish