Jason Parham is a Staff R&D Engineer with 13 years of experience applying computer vision and machine learning to real-world problems, currently at Kitware after leading animal detection and re-identification research at Wild Me. He holds a PhD in Computer Science from RPI and combines rigorous research with hands-on engineering—prototyping models, deploying production systems used by over a thousand biologists, and contributing full‑stack fixes to open-source projects like Submitty. Jason has supported DoD and DARPA-funded efforts in satellite object detection and helped win multi-million dollar proposals, showing a knack for translating research into mission-critical systems. Based in Cornelius, OR, he pairs field-focused conservation work (Wildbook) with space- and defense-grade perception engineering, bringing cross-domain depth and pragmatic delivery to complex ML problems.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS) Computer Science / Mathematics, Bachelor of Science (BS) Computer Science / Mathematics at Pepperdine University
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Rensselaer Polytechnic Institute
Homework Submission, Automated Grading, and TA grading system.
Role in this project:
Full-stack Developer
Contributions:8 commits, 12 PRs, 4 pushes in 1 year
Contributions summary:Jason contributed to the development of the Submitty platform by implementing room templates, a feature related to seating arrangements. Their work involved migrating data using SCP and RSYNC for rainbow grades. They also addressed cross-platform compatibility issues, especially concerning date handling in Safari, integrating Moment.js. Additionally, they implemented template fixes for walkways.
Contributions:10 PRs, 45 pushes, 13 branches in 1 year 9 months
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