Angelos Angelopoulos
Software Engineer at Nuro
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAngelos Angelopoulos is a Computer Science PhD candidate and research assistant at UNC-Chapel Hill with 11 years of engineering experience building robotics, real-time systems, and high-performance scientific software. He develops robot software and ML-driven lab automation in the Computational Robotics Group and has investigated real-time scheduling for ROS/ROS2 and microROS, bridging research and production concerns. His internships at General Motors and Qualcomm focused on edge/offload systems and deterministic scheduling for safety-critical workloads on heterogeneous SoCs, showing a knack for low-latency, resource-constrained systems. Previously he delivered GPU-accelerated scientific pipelines and deep-learning solutions that increased experimental throughput and produced large-scale HPC data, revealing experience across systems from embedded to cloud-scale HPC. Known for combining rigorous research with practical engineering, he pairs strong academic training (UNC PhD/MS, Old Dominion BS, 3.99 GPA) with hands-on implementation of systems that move from paper to deployed code.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Old Dominion UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of North Carolina at Chapel Hill
Greek, English
Stackoverflow
1reputation
0reached
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Github Skills (47)
visualization10
qt10
segmentation10
image-processing9
intellij9
python9
computed-tomography9
medical-image-computing9
neuroimaging9
vtk9
medical-imaging9
slicer8
registers8
cross-platform8
clojure8
Programming languages (4)
Github contributions (5)
UNC-Robotics/eos
Sep 2024 - May 2026
The Experiment Orchestration System (EOS) is a comprehensive software framework and runtime for laboratory automation.
Contributions:16 releases, 1 review, 1 PR in 1 year 7 months
automation
aangelos28/PBNRR
Aug 2018 - Feb 2021
This Slicer extension non-rigid registers a moving to a fixed MRI using a linear homogeneous bio-mechanical model to compute a dense deformation field that defines a transformation for every point in the fixed to the moving image.
Contributions:7 commits, 3 PRs, 6 pushes in 2 years 7 months
pythonmechanicalbiotransformationlinear
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