Gary Smith is a senior software engineer at the Nimbus research with a keen interest in the internet of things (IoT), device communication and data collection. Graduating with a certificate of excellence for best academic performance, he completed a first class B.Sc honours degree in Web Systems Development from the Computer Science department in University College Cork (UCC) in 2012. As an undergrad, he was awarded the UCC scholarship for outstanding academic performance.
Within Nimbus, he acts as an applications software engineer for a myriad of domains, performing full stack development in web, mobile, tablet and micro-controller applications. He has experience, applying a broad range of low-to-high level languages and frameworks in real world industrial applications. He has a background in ingesting data flows from heterogenous systems and integrating same with micro-services and RESTful API’s.
C. Lynch, J. Kehoe, R. Bain, F. Zhang, J. Flynn, C. O’Leary, G. Smith, R. Linger, K. Fitzgibbon and F. Feijoo, “SVM-Based Day-Ahead Electricity Price Prediction Model for the Single Electricity Market in Ireland”, ISF 2019, 39th International Symposium on Forecasting, Thessaloniki, Greece, 16 -19th Jun. 2019.
SERTS – Sentiment Analysis Evaluation of Real-Time Speech
Analog Devices International – AI solution to detect and segment wafer map anomalies
O-PENS – Optimise Predict Energy System – microgrid optimisation project
BOSCo – Battery Optimisation System & Control
STEP4 – Short Term Electricity Price Forecaster
Predictive Control Systems (PCS) – Energy system modelling and optimisation
PredictView (formerly Fastmodel Technologies) – Twitter Sentiment Analysis Project
SteriTrack – Development of a direct part marking (DPM) scanner for the healthcare sector