Summary
Daniel Ekpo is a graduate student researcher and software engineer with nine years of experience bridging computer vision, robotics, and production-grade cloud systems. His research focuses on 3D reconstruction, scene representation, and enabling embodied agents to perceive object attributes and spatial relationships for navigation and manipulation, while his industry work at Microsoft and internships delivered scalable CI/CD, Kubernetes instrumentation, and chatbot and data-ingestion solutions. He pairs deep academic experience—transformer-based unsupervised video object segmentation and simulator development in Unreal Engine—with hands-on engineering skills across Azure DevOps, Node/Angular stacks, and C++/Python. Known for improving deployment velocity and system stability, he also has a track record of leading small teams, automating release flows, and tailoring datasets and visualizations to answer research questions. Based in Silver Spring, MD, he is pursuing a PhD at the University of Maryland, combining practical product delivery instincts with rigorous research aimed at making robots understand complex visual scenes.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Maryland
Brigham Young University-Idaho
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Brigham Young University
English