Philip Corr is a product engineer with 10 years’ experience building data-driven products and machine learning solutions, currently shaping product at Intercom after a multi-role tenure at Conjura. He blends a strong academic foundation in electronics and computer engineering with hands-on experience in data science, predictive modeling, and full-stack development from roles at Bardess and SAP to research on deep neural networks for gesture recognition. Philip is active on GitHub and Kaggle, demonstrating a practical focus on reproducible ML and applied analytics that bridge research and product needs. Comfortable moving between model development and shipping user-facing features, he brings both consultancy-style problem framing and startup product execution to cross-functional teams. A less obvious strength is his early exposure to industrial signal processing and international experience in China and Singapore, which contributes to a pragmatic, systems-oriented approach to solving complex engineering problems.
10 years of coding experience
8 years of employment as a software developer
Master's degree Electronics and Computer Engineering, Master's degree Electronics and Computer Engineering at University College Dublin
study abroad Electrical and Electronics Engineering, study abroad Electrical and Electronics Engineering at National University of Singapore
Contributions:69 pushes, 2 branches in 1 year 9 months
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