Daniel Redmond
About Daniel Redmond
Daniel Redmond is a Principal Machine Learning Engineer at Cision with extensive experience in data science and machine learning roles across various companies.
Company
Daniel Redmond is currently employed at Cision as a Principal Machine Learning Engineer. Cision is known for providing public relations software and services. In his role, Daniel leverages his extensive experience in machine learning to support the company's advanced technology efforts.
Title
Daniel Redmond holds the position of Principal Machine Learning Engineer. His focus is on developing cutting-edge machine learning solutions to advance the technological capabilities within the organizations he works for.
Education and Expertise
Daniel Redmond achieved a Doctor of Philosophy (Ph.D.) in Mathematics from the University of Missouri-Columbia, a program that he completed over ten years from 1999 to 2009. Additionally, he holds a Bachelor of Science (B.S.) in Computer Science from Missouri University of Science and Technology, completed between 1993 and 1998. His educational background combines deep mathematical knowledge with extensive computer science expertise.
Professional Background
Daniel Redmond’s career spans several key roles in the tech industry. He previously worked at Recko, Inc. as a Key Adviser in AI and Machine Learning from 2019 to 2022 in the Greater St. Louis Area. At ADS Environmental Services, he was the Lead Data Scientist from 2016 to 2022 in Huntsville, Alabama. He also served as VP of Data Science and Machine Learning at Bark from 2015 to 2022 in Savannah, Georgia. Other positions include Lead Data Scientist at Ahalogy (2014-2015), Chief Architect at InfiSafe (2013-2014), and Mathematician and Computer Scientist at Frame Research Center (2007-2013). Earlier in his career, he was a Software Consultant at Microsoft (2002-2003) and a Consultant at AT&T GIS (1995-1996).
Key Projects and Initiatives
Daniel Redmond has architected and built a multi-vendor open-source multi-cluster Kubernetes-based ML Ops Platform on Google Cloud Platform. This project indicates his ability to handle complex machine learning operations and infrastructure setups.
Work Preferences
Daniel Redmond has a strong preference for remote or telecommute work arrangements. He frequently engages in projects that involve applying mathematics, statistics, and computer science to solve business problems, showcasing his inclination towards analytical and technically challenging roles.