Kevin is a principal research engineer that has experience in data visualization and machine learning. He has worked on many large-scale complex projects across the organization. He has developed and trained deep learning classifiers with various architectures and utilized the tools in the Hadoop family to create monitoring systems that keep track of the performance of production machine-learned models and compare them with experimental models through offline evaluations. He also worked with Paranoids, the security team, on anomaly detection through supervised and unsupervised learning in network data. He also worked on image classification to support content-based classification.

Research Areas: Data Science, Machine Learning, Scalable Systems