Jullian Arta Yapeter

Jullian Arta Yapeter has a diverse work experience in the field of artificial intelligence and computer vision. Jullian Arta started as an Image Processing Software Engineer at A.U.G. Signals Ltd., where they developed remote sensing programs for precision farming. Jullian Arta then worked as an Innovation Specialist Co-op at General Motors, where they managed advanced technology projects and conducted user testing for in-vehicle features. At Zero Gravity Labs, Jullian developed a health-promoting mobile app and an augmented reality scavenger hunt game. Jullian Arta also conducted research on neural arithmetic logic units and conditional generative adversarial networks. Jullian worked as an AI & IoT Developer at IBM, where they developed various projects including a robotic arm, IoT garbage bins, and a language translator system. Jullian Arta later interned at Walt Disney Imagineering, where they enhanced Disney Research's computer vision pipeline and developed time-series deep learning applications. As a Computer Vision and AI Software Engineer at Dragonfruit AI, Jullian created a real-time security video AI processing service. Jullian Arta then interned at Disney Research, where they designed and implemented an AI development environment for project teams. Currently, they are working as a Graduate Research Assistant at the University of Southern California, focusing on cognitive learning for vision and robotics. Jullian's work experience showcases their skills in machine learning, computer vision, software development, and project management.

Jullian Arta Yapeter's education history is as follows:

From 2021 to 2023, Jullian attended the University of Southern California, where they pursued a Master of Science (MS) degree in Computer Science.

Between 2015 and 2020, Jullian studied at the University of Waterloo, earning a Bachelor's Degree in Mechatronics Engineering with a focus on the Artificial Intelligence option.

In 2019, Jullian participated in an international exchange program at the Singapore University of Technology and Design (SUTD), specializing in Engineering Product Design.

Jullian completed their high school education at Pierre Elliott Trudeau High School from 2011 to 2015.

In 2014, Jullian took part in the SHAD Valley Summer Program at Queen's University, focusing on Entrepreneurship and Engineering.

Jullian's educational journey began at Stonebridge Public School, where they received Elementary Education from 2008 to 2011.

Additionally, Jullian has obtained several certifications, including a Master of Science degree from the University of Southern California in May 2023. They have also completed various specialized courses in deep learning, convolutional neural networks, sequence models, hyperparameter tuning, regularization and optimization, neural networks, and structuring machine learning projects, primarily through online platform Coursera.