About

Chris Rawles is a Senior Software Engineer at Google Research with a passion for engineering elegant and creative solutions to challenging problems. With almost a decade of relevant experience, Chris has worked with a wide range of technologies and tools, including Apache Spark, Python, Jupyter Notebook, SQL, TensorFlow, and more. Chris has an impressive portfolio which can be found on his website, crawles.com. In his current role at Google, he is responsible for developing cutting-edge machine learning solutions. Prior to his current position, Chris worked as a Machine Learning Solutions Engineer at Google and as a Senior Data Scientist at Pivotal Software, Inc. At Pivotal Software, Chris led the development of end-to-end machine learning solutions across various domains. He also presented data science processes, strategic insights, and actionable results to C-level executives and senior stakeholders. Chris has also given presentations at conferences, including Strata and JupyterCon. He has also written blogs on data science, demonstrating his ability to communicate complex concepts in a clear and concise manner. Chris holds a Master of Science degree in Geophysics from the University of Wisconsin-Madison, where he also completed his Bachelor of Arts in Geophysics at the University of California, Berkeley. With a strong background in software engineering, research science, and machine learning, Chris is a valuable asset to any team. He is dedicated to staying up-to-date with the latest technologies and is always looking for new ways to innovate and solve complex problems.