Joel kamau

Machine Learning Engineer at Intel, Remote

About

Joel Kamau is a highly educated and experienced Machine Learning professional. He earned his Master's degree in Machine Learning from Carnegie Mellon University in 2012, after completing his Bachelor's degree in Information Technology from Georgia Southern University in 2007. Joel has extensive experience in the field of Machine Learning, having worked as a Machine Learning Software Engineer at Siemens in Alpharetta, GA and a Machine Learning Engineer at Intel, working remotely. Through his education and professional experience, Joel has developed a deep understanding of various Machine Learning algorithms and techniques, as well as a strong proficiency in programming languages such as Python, Java, and C++. He has also worked on projects involving natural language processing, computer vision, and predictive modeling. Joel is passionate about leveraging his skills and knowledge to develop innovative solutions and drive business growth through Machine Learning. He is constantly seeking opportunities to expand his expertise and stay updated on the latest advancements in the field. In his free time, Joel enjoys reading books on Machine Learning and playing soccer.

Education

Carnegie Mellon University

masters, machine learning / December, 2012

Pittsburgh, Pennsylvania, United States of America

Georgia Southern University

bachelor, Information technology / December, 2007

Statesboro, Georgia, United States of America

Experience

Alpharetta, GA

Machine Learning Software Engineer at Siemens, / March, 2018 — Present

• Design machine learning applications in sensor perception and sensor data fusion. • Resolve complex issues pertaining to sensor-modeling, scenario-driven development and corner cases identification. • Coordinate simulation-based generation of training and validation data. • Consistently deliver high quality software within an Agile/Scrum environment.

Intel, Remote

Machine Learning Engineer / February, 2014 — March, 2018

• Delivered key contributions to various projects entailing development of advanced algorithms and applications of machine learning. • Liaised extensively with multidisciplinary teams to identify, analyze and resolve complex tasks involving industrial application of advanced machine learning.

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