Peter S.

Principal Machine Learning Software Engineer at Turnitin

Peter S. has a diverse range of work experience in various roles. Peter started their career as a Research Assistant at the University of Montana in 2000. Peter then worked as a Technical Writer at Systems for Environmental Management from 2002 to 2003. Peter joined Herrera Environmental Consultants and worked as an Environmental Scientist from 2008 to 2010 and again from 2011 to 2012. In 2014, they worked as a Python Engineer at Domaintools, focusing on machine learning and cybersecurity. Peter then became a Software Engineer at Anaconda, Inc. in 2015, where they built tools for big data analysis and worked on a NASA Small Business Innovative Research (SBIR) grant. In 2018, they joined StormSensor, Inc. as a Hydrologist, working on anomaly detection algorithms for stormwater quality management. Peter also worked at Turnitin as a Principal Machine Learning Software Engineer, focusing on natural language processing for education. Overall, their experience includes roles in data science, hydrology, software engineering, and environmental science.

Peter S. obtained a Bachelor of Science degree in Resource Conservation (Ecology) from the University of Montana from 1997 to 2001. Peter then pursued a Master of Science degree in Environmental Engineering at the University of Washington from 2005 to 2008.

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