Soren Bouma

Soren Bouma has a diverse work experience in the field of machine learning and artificial intelligence. Starting with NIWA in 2017, Soren worked as a Computer Vision/Deep Learning Research Intern, where they developed a system for identifying individual dolphins based on their fins and presented the findings at IVCNZ. In 2018, they joined Mitsubishi Electric as an AI Intern, focusing on researching multiple object tracking algorithms and creating tooling for visualizing tracklets in 3D.

In 2019, Soren joined IMAGR as a Machine Learning Engineer, where they scaled the product recognition AI behind imagr's smart shopping trolley, played a significant role in the company's growth and fundraising activities. Finally, in 2022, they moved on to Halter as a Machine Learning Engineer, working on the machine learning components of Halter's system that allows farmers to remotely manage and monitor their herds.

Soren Bouma's education history begins in 2016 when they enrolled at The University of Auckland. Soren pursued a Bachelor of Science degree with a focus on Mathematics and Computer Science. Soren successfully completed their undergraduate studies at The University of Auckland in 2018.

Additionally, Soren Bouma participated in the Deep Learning Summer School at Tsinghua University. However, specific dates for this program are not provided. Nonetheless, it can be inferred that Soren attended this summer school at some point during or after their time at The University of Auckland. Overall, Soren's education background demonstrates their interest and expertise in Mathematics, Computer Science, and deep learning.