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General Information

Full Name Chun Yao Chang (張鈞堯)
Date of Birth 28th October 1999
Languages English, Chinese

Education

  • 2023 -
    M.S. in Computer Science
    University of California, Los Angeles
  • 2018 - 2022
    B.S. in Computer Science and Information Engineering
    National Taiwan University
    • Overall GPA - 4.14/4.3
    • Ranking - 13/140

Work Experience

  • 2021/07 - 2022/12
    Software Engineer Intern
    Microsoft
    • Implementing a full-stack application to automate the procedure of stress testing, which enables engineers to stress multiple servers simultaneously and monitor the status through rack managers.
    • Optimized Kusto and MSSQL database procedure to expedite data fetching efficiency by 17% and the amount of data from 10M to 100M+.
    • Reconstructed the Azure data dashboard to help engineers analyze the Azure hardware event log.
  • 2020/07 - 2020/09
    IT Intern
    Funpodium
    • Implemented a decision-tree model to determine the order and type of advertising based on user's behavior, which boosted the user return rate by 16%.
    • Collected application logs from company's apps and constructed a dashboard to visualize the user flows of apps.
  • 2020/09 - 2022/06
    Section Chief, Wireless Services, Network Administration Division
    NTU CSIE Network Administration and System Administration Team
    • Led a 4-man team to maintain and troubleshoot routers and wireless access points of department CSIE to ensure stable and secure wireless connection.
    • Managed the ELK stack system in CSIE department to store the event logs from other devices.
    • Conducted a large-scale documentation update and a cleanup of existed setting of Radius and Zone Director.

Research Experience

  • 2022/02 - 2023/01
    Speech Processing and Machine Learning Lab
    NTU, Professor Hung-Yi Lee
    • Collaborating with Professor Hao Tang, University of Edinburgh.
    • Member of 2022 Eighth Frederick Jelinek Memorial Summer Workshop in Johns Hopkins University (join virtually).
    • Researched different compression methods on self-supervised speech models.
    • Proposed a new model architecture that achieve similar performance to state-of-the-art model while reducing the training time by 30% and VRAM consumption by 50%.
  • 2021/02 - 2022/01
    Machine Intelligence and Understanding Lab
    NTU, Professor Yun-Nung (Vivian) Chen
    • Researched natural language processing (NLP), with focus on dialogue state tracking.
    • Leveraged controllable counterfactuals data augmentation to improve accuracy of baseline model by 7% in accuracy.
    • Investigated the possibility to conduct membership inference attack on NLP translation model.

Open Source Projects

  • 2022
    Skull Fracture Detection
    • Integrated the architecture of YOLO and CenterNet to detect the area of skull fracture, which yielded 64% accuracy in F1 score.
  • 2021
    Sports Team System
    • Built a full-stack system to manage the badminton team.
    • Improved the efficiency of the rental of badminton courts.
  • 2021
    Don’t Touch the White Tile
    • Built a Java music game from the game of the same name.
    • Structured the game with objected-oriented design such as open-closed principle to achieve great extensibility.
  • 2021
    Travel Recommendation Chat Bot
    • Designed a chat bot that recommended user where to travel based on user's input text.
    • Used Microsoft Bot Framework as backbone and utilized LUIS to provide human-like interaction.
    • Was sponsored by Microsoft to complete the project after CareerHack hackathon.

Honors and Awards

  • 2020
    • Dean's List Award