Natnaree Sae Lim

Pipeline Developer/software Technical Director at M2 Animation

Natnaree Sae Lim has a diverse work experience in the fields of animation, machine learning, and electrical engineering.

Starting in 2022, Natnaree worked as a Pipeline Developer/Software Technical Director at M2 Animation. In this role, they developed tools and software for internal use, identified and debugged software issues, and maintained the company's production workflows.

Prior to that, from 2020 to 2021, Natnaree worked at mu Space Corp as a Machine Learning Engineer. Natnaree implemented deep learning models for automation control and autonomous navigation in mobile robots, developed and evaluated control systems for Brushless DC motors, and collaborated with a team to establish an autonomous navigation system using ROS and Lidar technology.

In addition to their machine learning role, Natnaree also worked as an Electrical and Software Engineering Intern at mu Space Corp in 2020. During this internship, they collaborated with aerospace and electrical teams to create electrical schematics and developed proposals and prototypes for the application of artificial intelligence in mobile robots and space vehicles.

Natnaree Sae Lim completed a Bachelor's degree in Electrical, Electronics and Communications Engineering (TEPE) from Thammasat University from 2016 to 2019. They are currently pursuing a Master of Management in Artificial Intelligence at the Smith School of Business at Queen's University, starting in 2023. Natnaree also obtained additional certifications such as "Certificated for completion of Probability and Statistics for Business and Data Science" from Udemy in September 2023, "Certificated for completion of Machine Learning A-Z™: Hands-On Python & R In Data Science" from Udemy in 2020, "Certificated for completion of the TensorFlow for Deep Learning with Python course" from Udemy in 2019, achieved recognition of successful completion in Huawei ICT Competition Thailand in 2018, and completed the MATLAB Onramp course from MathWorks in 2017.

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