Kaine Oduah
Software Engineer

Computer Science graduate who enjoys turning ideas into reliable software.

I design and build applications that are clear, dependable, and considerate of the people who use them. My work spans desktop tools, web experiences, and research focused models for image understanding.

BS Computer Science, Pennsylvania State University, August 2021 to May 2025

Highlights

Deep learning brain segmentation
Machine Learning and Artificial Intelligence

Trained a model that learns to separate brain regions from medical images and supports reproducible analysis.

Tools used: Python, PyTorch, OpenCV.
SUN Lab access system
Desktop application

Built a lab access application with an administrator dashboard that keeps check in data organized and visible.

Tools used: Python, SQLite, Tkinter.
Maintenance request web app
Full stack web project

Created a web based maintenance portal so tenants and managers can track requests without losing context.

Tools used: HTML, CSS, PHP, MySQL.

About

A clear and reliable approach to engineering

I am a Computer Science graduate who enjoys thoughtful engineering. I work carefully with data, interfaces, and infrastructure so that the tools I build are easy to understand and simple to maintain.

My interests include model driven systems, accessible user experiences, and tools that remove friction from everyday workflows. I value focus, clarity, and steady progress.

Experience

Summary of recent work

Sep 2023 to May 2025
Digital Media Technician
Pennsylvania State University

Supported the campus multimedia center by building and maintaining digital systems that help instructors and students share information clearly.

  • Engineered HTML, CSS, and JavaScript layouts for digital signage and media displays used across campus spaces.
  • Developed Python scripts to automate media ingest, file naming, and asset cleanup, reducing manual work for the team.
  • Diagnosed issues across projectors, display controllers, and browser based tools, often under tight event timelines.
  • Translated non technical requests into practical, repeatable solutions that fit existing infrastructure.
Tools used: HTML, CSS, JavaScript, Python, Git.
June 2022 to August 2022
IT Support
Matrix Group Logistics

Assisted a logistics company with web updates, internal tools, and everyday technical support.

  • Maintained and refined website content and layouts so service information stayed accurate and easy to read.
  • Created Python based utilities and spreadsheet workflows to process data exports and generate lightweight reports.
  • Resolved desktop, browser, and connectivity issues while documenting steps in clear, repeatable checklists.
Tools used: HTML, CSS, JavaScript, Python, Git.