Darren Caulfield

Darren Caulfield is a proficient software engineer and researcher specializing in computer vision, image processing, and machine learning. With extensive industry experience totaling seven years, he holds a PhD in computer vision and has successfully implemented, evaluated, and enhanced algorithms for tracking objects within video sequences, resulting in four peer-reviewed publications on the subject. Currently employed as a Computer Vision Research Engineer at LogoGrab, he contributes to the development of a brand detection API, enabling the detection and identification of logos in images and videos on a large scale. Darren excels in Python, utilizing it for data analysis, algorithmic research and development, as well as implementing production-grade solutions. His expertise extends to various libraries and tools such as numpy, scikit-learn, pandas, matplotlib, OpenCV, and ffmpeg. Previously, he held a prominent position as the lead software developer at SureWash, a system designed for handwashing training in medical institutions, which has been adopted by 70 hospitals globally. His technical skills also encompass a high proficiency in C++ and C#, utilized for implementing image processing algorithms and GUI development, respectively. Darren's academic background includes studies at Trinity College, where he pursued a Bachelor of Arts in Computer Science and later completed a Doctor of Philosophy degree at Trinity Business School.