Paula Gluss
Senior AI Engineer at Ironclad
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolPaula Gluss is a Senior AI Engineer with nine years of industry experience building ML-driven software for biotech, enterprise analytics, and database-integrated AI applications. She pairs rigorous mathematical training (BA Math, dual MS degrees from Georgia Tech in CS and Analytics/ML) with hands-on skills in model development, video processing, and production integrations—evidenced by her work adding a TensorFlow/Keras video action-recognition UDF to the EvaDB AI database. Paula has advanced through roles at Symetra, Luminex, Qualtrics, and Credo AI to her current position at Ironclad, consistently shipping end-to-end solutions that bridge research and production. She’s comfortable across the stack—ETL and SQL to model training and unit testing—and often acts as the SME translating business needs into ML systems. Based in Bellevue and an avid trail runner with her dog, she brings both analytical precision and a collaborative, product-minded approach to problem solving.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at University of WashingtonMaster of Science Computer Science, Master of Science Computer Science at Georgia Institute of Technology
Spanish
Github Skills (11)
video-processing10
keras10
computer-vision10
machine-learning10
tensorflow10
python10
ai9
unit-testing9
databases8
database8
object-detection6
Programming languages (1)
Github contributions (5)
georgia-tech-db/evadb
Nov 2019 - Dec 2019
Database system for AI-powered apps
Role in this project:
ML Engineer
ML EngineerContributions:20 commits, 1 PR, 2 comments in 28 days
Contributions summary:Paula's contributions primarily focused on developing a video action classification model within the EvaDB database system. They implemented a new UDF (User-Defined Function) for video action recognition using TensorFlow/Keras, including model building, training, and integration. Furthermore, the user added unit tests for the new UDF. Their work demonstrates proficiency in machine learning, video processing, and integrating models within a database environment.
image-classificationvideogpt-4evaexploratory-video-analytics
pgluss/inventory-mdp
Jun 2017 - Aug 2017
Contributions:28 pushes, 3 branches in 1 month
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