Designed a U Net model pipeline that converts microscopy style images into consistent brain region masks, supported by repeatable preprocessing and evaluation.
Kaine Oduah
Software Engineer
Entry level Software Engineer with a strong foundation in Python, Java, and C++.
I build software that feels polished, dependable, and easy to use. My work spans backend tools, full stack web applications, and Machine Learning and Artificial Intelligence projects, with an emphasis on clean design, measurable results, and clear communication.
Highlights
A quick tour of recent work
Deep learning brain segmentation
Tools used: Python, PyTorch, OpenCV.
SUN Lab access system
Built a desktop tool that logs lab access events, validates inputs, and makes searches fast for staff through a simple administrative interface.
Tools used: Python, SQLite.
Maintenance request web app
Created a request and status tracking system for maintenance work, replacing scattered messages with a single, searchable system of record.
Tools used: HTML, CSS, PHP, MySQL.
Experience
A clear snapshot, with more detail on the Experience page
August 2025 - Present
Technical Operations Specialist
Matrix Group Logistics Inc · Remote
- Administer and maintain Windows-based endpoints, internal networking equipment, and cloud-integrated services to support daily logistics operations.
- Configure and troubleshoot LAN connectivity, VPN access, DNS issues, and firewall permissions to ensure secure and stable remote access for distributed teams.
Tools used: Windows, PowerShell, VPN, DNS
May 2024 - August 2024
Software Engineering Intern
Lockheed Martin · Fort Worth, TX, USA
- Developed backend software tools in Python and Java to support internal engineering workflows and data processing.
- Collaborated with a cross functional Agile team to design, test, and deploy scalable application features.
Tools used: Python, Java, Git
Sep 2023 - May 2025
Digital Media Technician
Pennsylvania State University · Middletown, PA, USA
- Built digital interfaces with HTML/CSS/JS for display and media delivery systems.
- Automated media asset management using custom scripts to improve workflow efficiency.
Tools used: HTML, CSS, JavaScript