Machine Learning Operations Engineer - VUHL

Hi, I'm Owen Kington

Building ML systems that empower veterans toward homeownership

About Me

I'm an ML Operations Engineer at Veterans United Home Loans, where I maintain production systems for veteran loan and real estate services. I'm passionate about using technology to create real value for veterans , it's why I've stayed with VUHL since my sophomore year at Purdue. I combine technical depth with a genuine love for problem solving and overcoming adversity, whether that's optimizing ML pipelines, building side projects that blend AI with music and cooking, or simply pushing past my own fears through climbing and completing triathalons.

Fun Facts About Me

My first game that I made was in C++ using SFML, it was a vertical 2D platformer, and i made every asset myself. It ended up winning the Missouri state SkillsUSA game development competition competition and got 13th place at nationals

I started a club in high school called Brochet, focused on getting guys into chrochet and help break the stigma of craft hobbies being imasculating. While the club faded after I graduated, I'm always proud when I see the koozies we made together on their social media posts

I'm an advid supporter of 1. FC Union Berlin, after I was assigned to learn about them in a German class from a literal drawing from a hat. I fell in love with the team's underdog story, and hope to go to der Alte Försterei one day to see them play

Skills

Languages

Python

Java

C/C++

JavaScript

TypeScript

SQL

HTML

CSS

Godot

Frameworks

React

Node.js

Express

MongoDB

Flask

NumPy

Pandas

Polars

PyTorch

PostgreSQL

Jest

Tailwind CSS

Tools & Platforms

AWS

Docker

Git

Kubernetes

Redis

Snowflake

Education

Purdue University

B.S. Computer Science, Minor in Management

May 2026

GPA 3.62 / 4.0

Relevant Coursework

Deep LearningMachine Learning & AIAlgorithm DesignDatabase SystemsObject-Oriented ProgrammingData StructuresComputer ArchitectureMarketing ManagementHuman Resource Management

Projects

Atmofy 2.0

Planned

Music recommendation plugin for Spotify that queues up songs based on the weather and time of day. Originally built for LaunchPad@Purdue 2023, currently revisiting after time spend learning GNNs and deep learning under Purdue's Professor Bruno Ribeiro.

PythonPandasNumpyPyTorchGraph Neural NetworksSpotify API

GitHub

Recipe Share

In Progress

Mobile app for sharing, discussing, and discovering recipes with friends and strangers alike. Built with a medified MERN stack using FastAPI and MongoDB for the backend and React Native for the frontend.

PythonPandasNumpyPyTorchReact NativeFastAPIMongoDBGoogle CloudDocker

Drivetimes

Completed

PyMongo based FastAPI backend for a google distance matrix API result caching service. Saw 95% query latency reduction during SQL to MongoDB migration.

PythonMongoDBFastAPISQLDocker

Sample Reweighting Strategies for Deep Learning Optimization

Completed

Comparative study of stochastic gradient descent reweighting methods for graduate research in deep learning.

PythonPyTorchNumpy

GitHub

Contact

Let's Talk

I'm always open to new opportunities, interesting conversations, or just a good recommendation. My inbox is open.

Say Hello

Built with Next.js & Tailwind CSS — Owen Kington 2026