Tim Morell Pe Email & Phone Number | A licensed professional engineer with a unique duo background of mechanical engineering experience and machine learning engineering skills. Experience is in design and development for industrial equipment, manufacturing equipment, and military/aerospace applications including material property testing, product testing, and data collection. Strong leader with a Master of Engineering degree focused in ML & AI tools, Mechanical, and Aerospace Engineering from the University of Cincinnati. Experience with managing the development of new products, systems, and processes while also driving them to completion. Continually pursuing education and certifications in machine learning and A.I. to gain skills and applicable industry experience in designing models and tools that will aid in feature/pattern recognition, predictive analytics, fault detection and diagnostics, design optimization, and more.

Tim Morell Pe

A licensed professional engineer with a unique duo background of mechanical engineering experience a...
520 Cox Road, Chillicothe, United States

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Tim Morell Pe’s Location 520 Cox Road, Chillicothe, United States

Tim Morell Pe’s Current Industry Ge Aerospace

Tim Morell Pe’s Prior Industry Infosight | Air Force Research Laboratory | Army National Guard

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Advanced Lead Engineer

2024-08-01 00:00:00 - Present

Mechanical Design Engineer

2017-05-01 00:00:00 - 2022-02-01 00:00:00

Lab Technician

2015-05-01 00:00:00 - 2017-05-01 00:00:00

Human Resources

2010-10-01 00:00:00 - 2016-10-01 00:00:00

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Tim Morell Pe is a A licensed professional engineer with a unique duo background of mechanical engineering experience and machine learning engineering skills. Experience is in design and development for industrial equipment, manufacturing equipment, and military/aerospace applications including material property testing, product testing, and data collection. Strong leader with a Master of Engineering degree focused in ML & AI tools, Mechanical, and Aerospace Engineering from the University of Cincinnati. Experience with managing the development of new products, systems, and processes while also driving them to completion. Continually pursuing education and certifications in machine learning and A.I. to gain skills and applicable industry experience in designing models and tools that will aid in feature/pattern recognition, predictive analytics, fault detection and diagnostics, design optimization, and more.