Alex Soloway is a Senior Machine Learning Engineer at Manifold, where he builds and designs machine learning pipelines using tools like Python, AWS, SQL, MLFlow, PyTorch, Spark, and more. Alex values communication and has a history of collaborative work.
Prior to Manifold, Alex was a Data Engineer at Pacific Northwest National Laboratory (PNNL) in the National Security Directorate. There, he built data pipelines using AWS and Databricks; and developed deep networks for a variety of applications, including image segmentation and the classification of marine vessel tracking data to identify illegal fishing. He also developed a Python codebase for radar signal processing used to detect oil spills below the ice in the arctic. Before PNNL he was a research scientist at the University of Washington where he worked on a project funded by the Washington Department of Transportation developing a method to reduce the noise generated by cars driving over bridge expansion joints.
Alex has a B.Eng in Mechanical Engineering from McGill University; and a MS and PhD in Mechanical Engineering from the University of Washington.