Nima Mohajerin
About Nima Mohajerin
Nima Mohajerin is a Senior ML/Software Engineer at Nuro, specializing in machine learning and robotics. He has over 15 years of experience, including roles at Microsoft and Huawei Technologies, and holds a PhD from the University of Waterloo.
Work at Nuro
Nima Mohajerin currently serves as a Senior ML/Software Engineer at Nuro, a position he has held since 2022. In this role, he has contributed to the development of autonomous vehicle technology aimed at local goods delivery. His work involves collaborating with cross-functional teams to implement advanced machine learning solutions in robotics.
Previous Experience at Microsoft
Prior to joining Nuro, Nima worked at Microsoft as a Senior Machine Learning Researcher from 2019 to 2022 in the Toronto, Canada Area. During his three years at Microsoft, he focused on machine learning research, enhancing his expertise in the field.
Education and Expertise
Nima Mohajerin holds a Doctor of Philosophy (PhD) in Robotics and Deep Learning from the University of Waterloo, where he studied from 2012 to 2017. He also earned a Master of Science (M.Sc) in Electrical Engineering and Control from Amirkabir University of Technology - Tehran Polytechnic from 2004 to 2007. Additionally, he has a Bachelor of Science (B.Sc) in Electrical Engineering from Shahid Beheshti University, obtained from 1998 to 2003. His educational background is complemented by a Master of Science in Computer Science, Robotics, and Intelligent Systems from Örebro universitet, which he completed from 2009 to 2011.
Machine Learning Research Experience
With over 15 years of experience in machine learning research, Nima has a strong focus on robotics applications. He has previously worked as a Deep Learning Research Scientist at Huawei Technologies from 2018 to 2019 and as a PhD Candidate/Research Assistant at the University of Waterloo from 2012 to 2017. His roles have involved designing and implementing deep neural networks, recurrent neural networks, and convolutional neural networks for various applications.
Technical Skills
Nima possesses a strong engineering background with expertise in mathematical modeling, control theory, and optimization techniques. He is proficient in designing and implementing advanced machine learning models for applications such as time-series analysis and generative modeling.