Experience

University of Washington, Department of Electrical & Computer Engineering

• United States
• Higher Education
• 1 - 100 Employee

• Graduate Teaching Assistant

  • Mar 2023 - Present

  - EE443: Machine Learning for Signal Processing Applications

• Graduate Research Assistant

  • Aug 2020 - Present

  Advisor: Professor Jenq-Neng HwangFunded by:- National Institute of Water and Atmospheric Research, New Zealand- NOAA, USA- Electronics and Telecommunications Research Institute, South Korea



Meta

• French Polynesia
• Law Practice
• 1 - 100 Employee

• Research Scientist Intern

  • Jun 2022 - Sep 2022

  - Unsupervised domain adaptation on gaze estimation using synthetic data - Unsupervised domain adaptation on gaze estimation using synthetic data



Amazon

• Bangladesh
• Advertising Services
• 1 - 100 Employee

• Applied Scientist Intern

  • Jun 2021 - Sep 2021

  - Weakly-Supervised Monocular 3D Human Pose Estimation - Paper was accepted by the WACV'23, see the media link for more info! - Weakly-Supervised Monocular 3D Human Pose Estimation - Paper was accepted by the WACV'23, see the media link for more info!


ASML
• Netherlands
• Semiconductor Manufacturing
• 700 & Above Employee
• Software Engineer Intern

  • Jun 2020 - Sep 2020


Stealth Startup

• India
• Financial Services

• Machine Learning Engineer Intern

  • Jun 2019 - Aug 2019

  - Designed a multi-layer convolutional network model for link predictions of medical based knowledge graphs with a 96% overall precision and +5% improvement on the datasets. - Designed an end-to-end internal tool of evaluating metrics and visualizing data from the database to help experts' understanding of automatic diagnosis system performance. - Developed and maintained over 2000+ lines code of deep learning and database python packages use by the automatic diagnosis system and other products. Show less



National Taiwan University

• Taiwan
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Aug 2015 - Feb 2019

  1. Vision and Learning Lab, Advisor: Prof. Yu-Chiang Frank Wang2. Speech Processing Lab, Advisor: Prof. Lin-Shan Lee and Prof. Hung-Yi Lee3. Digital Image and Signal Processing Lab, Advisor: Prof. Jian-Jiun Ding

• Teaching Assistant

  • Feb 2018 - Jan 2019

  1. EE5184 - Machine Learning (Spring & Autumn 2018), Prof. Pei-Yuan Wu and Hung-Yi Lee2. CommE5052 - Deep Learning for Computer Vision (Spring, 2018), Prof. Frank Yu-Chiang Wang

• Student Representative of College of EECS of National Taiwan University Student Council

  • Sep 2015 - Aug 2016



NTUEE Student Association

• 1 - 100 Employee

• Director of Student Activities Department

  • Aug 2016 - Jul 2017

  1. General Coordinator of 2017 NTUEE Camp 2. Vice Chair of Class Reform Group of NTUEE Student Association 1. General Coordinator of 2017 NTUEE Camp 2. Vice Chair of Class Reform Group of NTUEE Student Association