Andrew Presland
Software Engineer (Data Acqusition & Analytics)
Baden, Aargau, Switzerland
Summary
👤
Senior🎓
Top SchoolAndrew Presland is a software engineer with 8+ years focused on data acquisition and analytics, currently building low-latency, high-throughput imaging systems at DECTRIS in Switzerland. He blends scientific imaging and data-intensive application expertise with hands-on systems engineering—from real-time CPU/GPU processing and visualization to scalable back-end data management. Previously he architected and implemented sub-100ms biometric inference pipelines on bare-metal Kubernetes, combining video ingestion, vector search and event-driven microservices for border-security deployments. His background spans embedded real-time control, industrial robotics, and particle physics research, giving him deep experience in signal processing, high-performance C++ and distributed systems. Comfortable across cloud-native stacks, edge compute and hardware integration, he is as fluent designing low-level motion-control firmware as he is shipping containerized ML services. A PhD-trained physicist, he brings a researcher's rigor to pragmatic engineering problems, often optimizing for deterministic latency in data-heavy pipelines.
9 years of coding experience
21 years of employment as a software developer
Bachelor of Arts - BA, Graphic Design, 2nd Class, Bachelor of Arts - BA, Graphic Design, 2nd Class at Leeds Beckett UniversityBachelor of Science, Applied Physics, 1st Class, Bachelor of Science, Applied Physics, 1st Class at Staffordshire UniversityDoctor of Philosophy, Experimental Particle Physics, Doctor of Philosophy, Experimental Particle Physics at University of Bristol
English, German
Github Skills (9)
slam10
visual-odometry10
kitti-dataset10
ros9
localization9
robotics9
ceres-solver9
computer-vision8
opencv7
Programming languages (3)
Github contributions (5)
apresland/autonomous-mobile-robots
Jun 2021 - Jul 2021
Use ROS and Gazebo to demonstrate SLAM and Path Planning in a simulated robotic environment.
Contributions:37 commits, 34 pushes, 1 branch in 21 days
roboticsrosgazebopath-planninglocalization
apresland/visual-slam
Jul 2021 - Dec 2021
Stereo Visual Odometry based SLAM demonstrated on the KITTI dataset. Based on OpenCV, Eigen, Sophus, Ceres Solver and ROS.
Contributions:67 commits, 41 pushes, 6 branches in 5 months
ceres-solverkitti-datasetrosvisual-odometrycomputer-vision
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.