Daniel Riehm is an R&D engineer on the computer vision team who works at Kitware’s Minneapolis office. He contributes to the open source computer vision toolkit KWIVER and is the main developer and maintainer of the modules which handle video stream processing and manipulation of MISB KLV metadata for full-motion video (FMV). He also has experience developing image stitching and bundle adjustment algorithms.

Daniel participated in the Kitware-led efforts in the IARPA BRIAR and DARPA Heimdall programs, focusing on development, testing, and optimization of real-time detection and tracking pipelines. Daniel has also done significant work porting computer vision and natural language models to run efficiently on edge / mobile hardware across a handful of projects.

Daniel received his bachelor’s degree in computer science from the University of Notre Dame in 2021.