Brendan Smith is a Lead Data Scientist and AI/ML engineer with 11 years of experience building scalable cloud and data systems for companies including Best Egg, AWS, and Microsoft. He combines deep software engineering and distributed-systems expertise with applied ML—most recently driving credit risk modeling and alternative-data feature engineering for Best Egg’s Flexible Rent platform. Brendan has hands-on experience designing data lakes, Spark-based ingestion pipelines, and control-plane infrastructure that improved service reliability and reduced costs at cloud-scale. He is an active open-source contributor to Apache projects like Zookeeper and Ambari and has repeatedly bridged research and production, from temporal CNNs for video highlight detection to production host-lifecycle automation at EC2. Expected to complete an M.S. in Data Science from UT Austin in late 2024, he brings both operational rigor and a knack for turning messy organizational data into actionable business insights.
11 years of coding experience
7 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at The University of Texas at Austin
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Nebraska-Lincoln
A web driver to download account activity .qfx files from Wells Fargo (for YNAB). Written in Python using Splinter.
Contributions:108 commits, 2 branches in 1 month
splinterpythonwellsaccountynab
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