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HAO-WEI CHUNG
CMU MCDS / ex-AMD SWE Intern / ex-NTHU CS RA
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HAO-WEI CHUNG

CMU MCDS / ex-AMD SWE Intern / ex-NTHU CS RA
I'm Hao-Wei, a dedicated software engineer passionate about machine learning and data science. I received my bachelor's degree in Computer Science from National Tsing Hua University. I am currently pursuing a master's degree at Carnegie Mellon University in Computational Data Science program. As a former research assistant at National Tsing Hua University at Theta Lab, I focused on connecting robustness, generalization, and fairness, through the unsupervised or weakly supervised learning manners in the medical domain and yielded two research papers at top conferences (AAAI, MICCAI) of machine learning. Throughout my internship at AMD, I designed and implemented an internal Image Signal Processor (ISP) tuning platform that significantly improved imaging algorithm tuning efficiency. My time at AMD has equipped me with a practical understanding of software engineering and a commitment to optimizing solutions. I am enthusiastic about leveraging my expertise and adept problem-solving skills on a global scale. Currently, I am in active pursuit of a summer internship opportunity within the United States. Please don't hesitate to reach out to me to talk about potential software engineering openings.
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National Tsing Hua University
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Carnegie Mellon University
Pittsburgh, PA, USA
United States

Professional Background

  • Current Status
    Studying
  • Profession
    Machine Learning Engineer
    C,C++ Developer
  • Fields
  • Work Experience
    Less than 1 year relevant
  • Management
  • Skills
    C++
    C
    Deep Learning
    Machine Learning
  • Languages
    English
    Professional
  • Highest Level of Education

Job Search Preferences

  • Current Status
  • Desired Job Type
    Intern
    Interested in working remotely
  • Desired Positions
  • Desired Work Locations
  • Freelance

Work Experience

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Research Assistant

Sep 2022 - Jan 2023
5 mos
Hsinchu, Hsinchu City, Taiwan
• Research Topic: Fair Multi-Exit Framework for Facial Attribute Classification. • Proposed a Multi-Exit debias CNN framework and achieved fairness on CelebA & UTK datasets. • Outperformed baseline model in fairness metric by 21% while losing 0.13% in accuracy.
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SWE Intern

Jan 2022 - Aug 2022
8 mos
Hsinchu, Hsinchu City, Taiwan
• Designed internal software to support image signal processor (ISP) tuning using Python and C++ • Laid out and built a UI for 3A algorithms (AWB, AF, AE) and image quality tuning using PyQt • Reduced 90% of imaging algorithm’s parameters tuning time by developing an automatic data preprocessing pipeline and a parameters format converter
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Teaching Assistant

Jul 2020 - Feb 2021
8 mos
Hsinchu, Hsinchu City, Taiwan
• [EECS207002] Logic design laboratory • implement Verilog on FPGA
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Summer Internship

Jul 2020 - Aug 2020
2 mos
• Improved registration algorithm precision using OpenCV to implement image processing methods. • Added a new manual labeling feature to the object detection algorithm that provided flexibility to users.

Education

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Master’s Degree
Computational Data Science
2023 - 2025
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Bachelor’s Degree
Computer Science
2018 - 2022
Description
Technical Skills: • Programming: Python, C, C++, Verilog, JavaScript, HTML/CSS • Data Science & Machine Learning: Deep Learning, Data Engineering • Tools: PySpark, Pytorch, Tensorflow

Licenses & Certifications

Toefl

ETS
Issued Feb 2021
No Expiration Date