Andy Presland

I worked on a location based contextual platform building machine learning models that use mobile sensor data (GNSS/IMU) to detect behavioural patterns in users mobility. I constructed serverless injestion pipelines for data-monitoring, anomaly detection, and feature extraction (AWS Lambda, Batch and S3). I developed a system for Significant Location detection and productionized it as a batch service including ETL and data connectors as a RESTful service and visualization with Javascript.

I developed embedded software for RTOS/Embedded Linux in modern C++ using Agile methods. Projects included fieldbus based distributed real-time motion control (industrial robotics), communication and security modules (IoT), and metering platform (SmartEnergy). I performed Quality Assurance Engineering for medical devices with mobile app controller including executable functional specification in Cucumber, test automation with Appium and Jenkins.

Development of real-time motion control systems for 6DOF parallel kinematic manipulators (Stewart Platforms) and Vibration Analysis rigs, real-time signal processing, spectral analysis, and HMI development (.Net), project comissioning (on-site) and Level-2 technical support.