Karanpreet Singh has extensive experience in machine learning engineering and research. Karanpreet is currently working as a Senior Machine Learning Engineer at Qeexo since July 2022. Prior to this, they held the same position at Qeexo from January 2022 to July 2022. From January 2020 to December 2021, they worked as a Machine Learning Research Engineer at Qeexo. Karanpreet also worked as a Graduate Research Assistant at Virginia Tech from August 2015 to December 2019, where they conducted research on accelerated and robust structural design optimization using machine learning. Karanpreet also served as a Graduate Teaching Assistant at Virginia Tech during the same period. In 2019, Karanpreet worked as a Machine Learning Intern at Dassault Systèmes, where they developed deep reinforcement learning approaches for generating CAD designs. Karanpreet also worked as a Machine Learning Intern at Qeexo in 2019, where they built machine learning solutions for human activity recognition. Karanpreet has also held positions as a Visiting Research Scholar at Virginia Tech, a Research Assistant at Karlsruhe Institute of Technology (KIT) in Germany, and a Summer Intern at the Indian Institute of Technology, Delhi.
Karanpreet Singh has a strong educational background in engineering and machine learning. Karanpreet obtained their Bachelor of Engineering (BE) degree in Mechanical Engineering from Punjab Engineering College, where they studied from 2010 to 2014. Karanpreet then pursued higher education at Virginia Tech, where they completed their Master of Science (MS) degree in Aerospace Engineering from 2015 to 2017. Additionally, Karanpreet Singh earned a Doctor of Philosophy (PhD) degree in Structural Optimization and Machine Learning from the same institution, studying from 2015 to 2019.
In terms of certifications, Karanpreet Singh has completed the Deep Learning Specialization from Coursera in October 2020. Karanpreet also pursued the Deep Learning Nanodegree and Machine Learning Engineer Nanodegree from Udacity, although the specific completion dates are not available.
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