Kevin Urbanski

Kevin Urbanski has a diverse work experience in various roles and industries. Kevin is currently the Co-Founder and COO of Rithmik Solutions since May 2021. Prior to this, they were the Co-Founder and CTO at Rithmik Solutions, where they leveraged machine learning solutions for heavy equipment to reduce downtime, lower costs, increase productivity, and improve safety. Kevin also assisted in the extraction of sensor data and implemented data visualization and monitoring software.

Before their work at Rithmik Solutions, Kevin served as the CEO, Senior Professional Engineer, and coffee maker at Rithmik Solutions from February 2018 to September 2019. At Teck Resources Limited, they worked as a Senior Technical Analyst from August 2013 to May 2016. In this role, they led an initiative to increase efficiency of payload throughput at mine sites and supported a mobile equipment monitoring solution.

From February 2008 to October 2012, Kevin worked at Matrikon/Honeywell as a Systems Integrator, Technical Lead, and Developer. Kevin led project teams implementing asset health monitoring of mobile mining equipment and conducted investigations on various equipment models to gather sensor and alarm data.

Furthermore, Kevin has experience at Channel Systems Inc. as a Systems Integrator, Engineering, and Sales from February 2005 to May 2007. Kevin designed and implemented custom measurement, automation, machine vision, and spectral imaging systems, as well as assisted in project planning, management, and marketing.

Overall, Kevin Urbanski has a diverse background in technical leadership, project management, software development, and engineering, with a focus on leveraging technology to optimize operations and improve safety in the heavy equipment industry.

Kevin Urbanski completed their Bachelor's degree in Computer Engineering from the University of Alberta, from the year 2000 to 2004. Kevin also obtained several certifications, including "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Machine Learning," "Neural Networks, and Deep Learning," "Structuring Machine Learning Projects," and "The Data Scientist's Toolbox" from Coursera in September 2017. Additionally, they hold the professional designation of P.Eng. from The Association of Professional Engineers and Geoscientists of Alberta (APEGA).