Summary
Erik Conser is a Senior Computer Vision Scientist and PhD candidate in Computer Science based in Portland, Oregon, with nine years of experience applying deep learning and probabilistic models to real-world problems. He builds and deploys state-of-the-art vision systems—ranging from visual grounding and object localization to end-to-end analytics pipelines—currently leading CV/ML efforts at MGIC. His background spans DoD satellite communications, mortgage analytics (including involvement in patented contact-strategy modeling), and academic research under an NSF grant, giving him a rare blend of operational rigor and research-grade experimentation. Skilled in Python, C++, C, Java and SQL, he excels at turning complex models (Fast/Faster R-CNN, VGG) into interpretable, production-ready solutions and visualization workflows. Colleagues value his practical focus on deployable algorithms and his ability to bridge research insights with business impact.
8 years of coding experience
13 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Portland State University
Bachelor's degree, Science, Bachelor's degree, Science at United States Air Force Academy
Computer Science, Computer Science at University of Colorado Colorado Springs
English