Scott Sutton

Scott Sutton has extensive work experience in the software engineering and testing field. Scott is currently employed at percipient.ai as a Sr. Software Engineer in Test, a position they have held since August 2020. Prior to their current role, Scott worked at Splunk from July 2019 to July 2020 as a Sr. Software Engineer in Test.

Before joining Splunk, Scott worked at Samsung SDS from November 2014 to July 2019. During their time at Samsung SDS, they served as a Sr. SDET and Senior Staff Engineer.

Prior to their tenure at Samsung SDS, Scott worked at Google as a Software Developer from August 2011 to October 2014. Before that, they held various roles at Dell EMC from August 1999 to August 2011, including Sr. Consultant, SQA Manager, and Sr. SQA Engineer.

Scott began their career as a Software QA Engineer at Microsoft Corp in December 1998. Scott worked there until August 1999.

Overall, Scott Sutton has a diverse background in software engineering and testing, having worked at both large technology companies like Google and Microsoft, as well as at enterprise software companies like Dell EMC and Splunk.

Scott Sutton attended the University of Maryland, where they did not specify a degree or field of study. Scott has also obtained several certifications, such as "Architecting with Google Kubernetes Engine (GKE)" and "Networking and Security in Google Cloud Platform (GCP)" from ROI Training in May 2020 and February 2020 respectively. Additionally, Scott obtained certificates in "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning" from Coursera Course Certificates in February 2018 and January 2018 respectively.