Sean Higgins — Software Engineer
Software engineer with a M.S. in Software Engineering and a B.S. in Computer Science from Loyola University Chicago. I enjoy building clean, practical software and have experience across front-end, back-end, data engineering, and machine learning.
When I'm not writing code, you can find me in the boxing ring, on the mountain snowboarding, enjoying a live concert, or at home building furniture and making art. World traveler. Eagle Scout. Cat dad to Sunny.
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Senior Software Engineer @ Capital One (Dec 2023 – Present)
OAuth2.0 subject matter expert for API Gateway Platform. Architect authentication features including Workforce SSO and Step-Up Auth. Own the Consent UI full-stack Angular app on AWS CloudFront. Core maintainer of the Lua-based API Gateway, delivering feature development and leading inner-source contributions.
Data Engineer @ Capital One (Nov 2021 – Dec 2023)
Built a full-stack Angular/Java application automating Scala ETL workflows for credit card partner conversions, reducing conversion length by 4 months. Transformed 10M+ trailing transactions across 1-2M customer accounts for 3 successful conversion events on AWS EMR.
Data Scientist @ R1 RCM (Nov 2020 – Oct 2021)
Designed a scalable ML training pipeline on AzureML GPU clusters, speeding up training 2x and increasing experiments 4x+. Trained classification models to predict hospital/physician claim traits, resulting in $1-2M/year savings.
Data Engineer @ Kemper (Nov 2019 – Nov 2020)
Full-stack developer on Micro-Automation Portal for employees to manage automations like the CFO report and accounting journals, built on Angular, Python ETL, and AWS DynamoDB.
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M.S. Software Engineering — Loyola University Chicago (Jan 2020 – Dec 2020)
GPA: 3.7/4.0. Teaching Assistant for Database Programming, ML, and Operating Systems. Research Assistant developing NLP techniques for medical data classification.
B.S. Computer Science — Loyola University Chicago (Aug 2016 – Dec 2019)
GPA: 3.6/4.0, Major GPA: 3.8/4.0. Research Assistant developing NLP applications for keyphrase extraction and GitHub issue classification.