Katie Larue

About Katie Larue

I’m a software and machine learning engineer focused on building reliable, production-ready systems at the intersection of software engineering, machine learning, and computational modeling. I hold dual master’s degrees in Applied & Computational Mathematics (M.S, University of Washington, 2025) and Computer Science (M.S, Western Washington University, 2024).My work spans applied machine learning, computer vision, and systems-oriented engineering. In an academic research setting, I contributed to a deep learning pipeline for LiDAR-based archaeological site detection used by a partner department at my university. My contributions focused on dataset refinement, semantic mask generation, and iterative model tuning, improving segmentation accuracy by ~20%. This experience strengthened my ability to collaborate on ML systems with real stakeholders while working within research constraints.I’ve also built ML-driven image classification models, neural style-transfer pipelines, and computational graphics tools, including mesh rendering and 3D ray-tracing components. Across projects, I’ve worked end-to-end on data preparation, model development, evaluation, and writing deployment-ready code, with a strong emphasis on correctness, performance, and maintainability.Previously, I worked as a Software Engineering Intern at USAA, where I was part of a four-intern team prototyping an internal IVR system as a proof of concept. I worked in a cloud-native environment using AWS, Go, Terraform, and CI/CD tooling, contributing to system integration and participating fully in agile workflows. The project successfully validated the technical feasibility of the design through internal testing.In parallel, I bring leadership and communication experience from serving as a Lead Computer Science Tutor and Graduate TA. In these roles, I supported over 150 students, helped double tutoring program capacity, and onboarded 12 new tutors—developing a strong ability to explain complex technical concepts, mentor peers, and work cross-functionally.I’m seeking new-grad full-time roles starting January 2026, with a primary focus on Software Engineering and Machine Learning Engineering, particularly on teams building ML-enabled products, data-driven systems, or scalable software platforms.If you’re working on applied ML systems or software products where engineering rigor and mathematical grounding matter, I’d be glad to connect.

Experience

1. Software Engineer

   1stmile

   Jan 2026 — Present

Education

• University of Washington

  Master of Science, Applied & Computational Mathematics

• Western Washington University

  Master of Science, Computational Science

• Western Washington University

  Bachelor of Science, Computational Science