Michael Schreiber
About Michael Schreiber
Michael Schreiber is a Full Stack Engineer specializing in Machine Learning, currently employed at BigBear.ai. He has extensive experience in software development and engineering, with a background that includes roles at various organizations, including the U.S. Department of Commerce and MDA Information Systems.
Current Role at BigBear.ai
Michael Schreiber currently serves as a Full Stack Engineer specializing in Machine Learning at BigBear.ai. He has been in this role since 2023, working in a hybrid capacity from Columbia, Maryland. In this position, he focuses on developing software solutions that leverage machine learning techniques to enhance data analysis and operational efficiency.
Previous Experience in Software Engineering
Michael Schreiber has extensive experience in software engineering, having held various positions across multiple organizations. He worked as a Senior Software Engineer at CyberPoint International from 2014 to 2023, and prior to that, he served as a Senior Software Engineer at TexelTek, Inc. from 2010 to 2013. His roles involved developing software solutions that produced significant financial impacts in global markets.
Leadership and Founding Roles
Michael has held leadership positions, including serving as the Chief Technology Officer and Co-Founder of SHUSH Performance Technologies, Inc. from 2019 to 2023. He also founded Model Analytics, LLC, where he was the CEO from 2014 to 2017. In these roles, he focused on driving innovation and developing software solutions tailored to specific industry needs.
Educational Background
Michael Schreiber studied at Penn State University, where he earned a Bachelor of Science degree in Meteorology and Information Science and Technology from 2000 to 2005. His education provided a strong foundation in both meteorological concepts and information technology, which he has applied throughout his career.
Analytical Expertise and Insights
Michael specializes in providing analytical and objective analysis of weather and software solutions. He is adept at transforming complex data into actionable insights, enhancing team performance and collaboration through his understanding of group dynamics. His ability to convey complex technical concepts in an understandable manner bridges the gap between technical and non-technical stakeholders.