David Indictor

David Indictor has a diverse range of work experience in various roles. David is currently working as a Software Engineer at Beacon Platform since October 2021.

Previously, they worked at Witbe from June 2018 to October 2021. David started as a Support Engineer and was responsible for troubleshooting and debugging a multi-system hardware and software product for service quality monitoring. David also coordinated with R&D and QA teams to report bugs and find solutions for client operations. Later, they were promoted to Support Engineering Supervisor, where they led a team of three support engineers, documented technical knowledge, and assisted in the development of new Agile workflows.

Prior to that, they worked as a Research Assistant at Binghamton University from August 2016 to May 2017. Their role involved designing and implementing an LDA classifier for manipulation detection in images. David collaborated with Professor M. Kirchner to develop feature extraction techniques.

David also worked as a Summer Research Fellow at the National Institute of Standards and Technology (NIST) in 2016 and 2015. During their time at NIST, they focused on machine learning for spectrum activity prediction and implemented various prediction algorithms for wireless network spectrum activity.

Additionally, David gained experience as a Computer Systems Intern at the New York City Department of Health and Mental Hygiene in the summer of 2014. In this role, they analyzed school health data, ensured data consistency within the database, and prepared graphical summaries and reports using VBA in Microsoft Excel.

David Indictor completed their Bachelor of Science in Computer Engineering at Binghamton University from 2012 to 2016. David then pursued a Master of Science in Electrical and Computer Engineering at the same institution from 2016 to 2017. In addition to their formal education, they obtained a certification in Machine Learning from Coursera in March 2018.