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YU-KAI (KEVIN) CHIU
kevinyukaic@gmail.com +1(412)773-2084 http://yukaichiu.com San Francisco, CA
SkillsEducation
Carnegie Mellon University, School of Computer Science Pittsburgh, PA
Master of Entertainment Technology (ETC) 08.2018 - 05.2020
National Taiwan University, Graduate Institute of CSIE Taipei, Taiwan
Master of Computer Science 08.2015 - 07.2017
Highlighted relevant courses
Deep Learning, Computer Vision, Computer Graphics,
Rendering, Algorithms
Work Experience
Software Engineer, UberATG (Advanced Technologies Group), San Francisco 05.2020
• New grad offer rescinded due to COVID-19
Software Engineer Intern, UberATG, San Francisco 05.2019 - 12.2019
• Researched and implemented computer vision model using PyTorch for production pipeline of self-driving vehicles
• Trained a GAN model on distributed systems using docker and integrated it into the camera simulation pipeline
• Collaborated with engineers and researchers to develop the automating workflow for dataset generation
Research Assistant, Academia Sinica, Taiwan 02.2018 - 08.2018
• Researched depth and camera pose estimation in computer vision with reproduced state-of-the-art papers
Programming Languages
Python, C++, C, C#, JAVA
Software/SDK
PyTorch, TensorFlow, Docker,
AWS, Github, Unity3D, Unreal
Engine, Linux, OpenCV, Perforce
Academic Projects
Software Developer, Lottery Pick Hypothesis For Depth Estimation, CMU Spring 2020
• Reproduced Lottery Ticket Hypothesis paper using PyTorch with ResNet-18 and pruning on MNIST dataset
• Applied to monocular depth estimation using MobileNet and compared to the state-of-the-art on NYUDepthV2
Software Developer, Deep Learning Course Projects, CMU Spring 2020
• Implemented a customized deep learning library from scratch using Numpy
• Developed models for speech recognition, face verification, utterance to phoneme mapping and speech to text mapping
• Regularized and optimized the implemented models combining of NN, CNN, RNN, such as attention-based RNN or LSTM
Software Developer, Building Virtual Worlds, ETC, CMU Fall 2018
• Developed and designed VR/AR gameplay system/VFX via an interdisciplinary collaboration
• Utilized brainstorming and iteration for a 2-week rapid implementation project per round, 5 rounds in total
Research Assistant, Communications and Multimedia Lab, NTU 09.2015 - 07.2017
• Developed an AR trajectory guidance for hand-held composition with software stabilization and viewpoint shifting
• Implemented object tracking algorithms and optimized the performance of the system
• Pioneered an AR microscope system and awarded for ACM UIST 2015 Best Demo
Leadership
Producer, The Sims Alexa Game, Client - Electronic Arts, CMU Spring 2020
• Planned the production timeline and apply weekly beta test and sync meeting with the client
• Led the daily sprint meeting, technical meeting and the system design including code architecture
Publication
• Y. Huang, H. Chang, W. Yang, Y. Chiu, T. Yu, P. Tsai, M. Ouhyoung, “CatAR: A Novel Stereoscopic Augmented Reality
Cataract Surgery Training System with Dexterous Instruments Tracking Technology”, ACM CHI 2018 Full Paper
• Y. Chiu, Y. Kao, Y. Huang, M. Ouhyoung, “AR filming: augmented reality guide for compositing footage in filmmaking”, ACM
SIGGRAPH 2017 Posters
• Y. Chiu, Y. Huang, M. Ouhyoung, “Cinematography tutorials in virtual reality”, ACM SIGGRAPH 2017 Posters

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Yu kai chiu-resume

  • 1. YU-KAI (KEVIN) CHIU kevinyukaic@gmail.com +1(412)773-2084 http://yukaichiu.com San Francisco, CA SkillsEducation Carnegie Mellon University, School of Computer Science Pittsburgh, PA Master of Entertainment Technology (ETC) 08.2018 - 05.2020 National Taiwan University, Graduate Institute of CSIE Taipei, Taiwan Master of Computer Science 08.2015 - 07.2017 Highlighted relevant courses Deep Learning, Computer Vision, Computer Graphics, Rendering, Algorithms Work Experience Software Engineer, UberATG (Advanced Technologies Group), San Francisco 05.2020 • New grad offer rescinded due to COVID-19 Software Engineer Intern, UberATG, San Francisco 05.2019 - 12.2019 • Researched and implemented computer vision model using PyTorch for production pipeline of self-driving vehicles • Trained a GAN model on distributed systems using docker and integrated it into the camera simulation pipeline • Collaborated with engineers and researchers to develop the automating workflow for dataset generation Research Assistant, Academia Sinica, Taiwan 02.2018 - 08.2018 • Researched depth and camera pose estimation in computer vision with reproduced state-of-the-art papers Programming Languages Python, C++, C, C#, JAVA Software/SDK PyTorch, TensorFlow, Docker, AWS, Github, Unity3D, Unreal Engine, Linux, OpenCV, Perforce Academic Projects Software Developer, Lottery Pick Hypothesis For Depth Estimation, CMU Spring 2020 • Reproduced Lottery Ticket Hypothesis paper using PyTorch with ResNet-18 and pruning on MNIST dataset • Applied to monocular depth estimation using MobileNet and compared to the state-of-the-art on NYUDepthV2 Software Developer, Deep Learning Course Projects, CMU Spring 2020 • Implemented a customized deep learning library from scratch using Numpy • Developed models for speech recognition, face verification, utterance to phoneme mapping and speech to text mapping • Regularized and optimized the implemented models combining of NN, CNN, RNN, such as attention-based RNN or LSTM Software Developer, Building Virtual Worlds, ETC, CMU Fall 2018 • Developed and designed VR/AR gameplay system/VFX via an interdisciplinary collaboration • Utilized brainstorming and iteration for a 2-week rapid implementation project per round, 5 rounds in total Research Assistant, Communications and Multimedia Lab, NTU 09.2015 - 07.2017 • Developed an AR trajectory guidance for hand-held composition with software stabilization and viewpoint shifting • Implemented object tracking algorithms and optimized the performance of the system • Pioneered an AR microscope system and awarded for ACM UIST 2015 Best Demo Leadership Producer, The Sims Alexa Game, Client - Electronic Arts, CMU Spring 2020 • Planned the production timeline and apply weekly beta test and sync meeting with the client • Led the daily sprint meeting, technical meeting and the system design including code architecture Publication • Y. Huang, H. Chang, W. Yang, Y. Chiu, T. Yu, P. Tsai, M. Ouhyoung, “CatAR: A Novel Stereoscopic Augmented Reality Cataract Surgery Training System with Dexterous Instruments Tracking Technology”, ACM CHI 2018 Full Paper • Y. Chiu, Y. Kao, Y. Huang, M. Ouhyoung, “AR filming: augmented reality guide for compositing footage in filmmaking”, ACM SIGGRAPH 2017 Posters • Y. Chiu, Y. Huang, M. Ouhyoung, “Cinematography tutorials in virtual reality”, ACM SIGGRAPH 2017 Posters