About me

During my undergraduate studies, I took a diverse range of courses, including game design, full-stack web development, information security, and data science. I actively participated in competitions and achieved commendable results.

For my graduate studies, I specialized in NLP technology and conducted research on cross-domain transfer models for information retrieval. I also completed the Linux kernel implementation course, which provided me with comprehensive knowledge of operating systems and a robust foundation in the C programming language.

What i'm doing

  • design icon

    Informatioin Retrieval

    Document retrieval, Cross-domain transfer, Multilingual retrieval.

  • Web development icon

    Web development

    HTML, CSS, JavaScript, Angular, Laravel, Database.

  • Natural Language Processing

    Natural Language Processing

    Sentence classification, text summarization, named entity recognition, and more.

  • camera icon

    Game development

    Unreal, Unity, C#, C++.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. National Cheng Kung University

    08/2021 — Now

    · Intelligent Knowledge Management Lab (IKM Lab)
    · Linux Kernel Internals(A-)
    My notes of Linux kernel class

  2. National Taiwan University of Science and Technology

    09/2017 — 07/2021

    · Class: Full-stack web design and development (A+), Network security(A+), Database systems(A+)
    · Committee members of the Tennis club and Computer science and information engineering student association.

Experience

  1. Machine Learning Intern at ESUN Bank (玉山銀行)

    11/2020 — 06/2021

    · Developed a speaker separation model using PyTorch and trained it with real phone call recordings containing multiple speakers.
    · Designed and implemented a data augmentation workflow to create over 200 hours of phone call conversation data, used to train the speaker separation model.
    · Collaborated with the fintech team to develop and implement automated data cleaning processes to create high-quality training data.

  2. RD intern at Galaxy Software Services (叡揚資訊)

    09/2020 — 11/2020

    · Asp.net MVC development.
    · Received training in ASP.NET MVC development and strict code review process to ensure high-quality code.

Award

  1. 3rd place in the 2023 TSMC CareerHack

    02/2023 — 02/2023

    · 第四屆台積電校園黑客松
    · Passed the first stage of the programming test and joined the competition "What's up, Bot. I want you" in group D.
    · Designed and implemented a Discord bot using the discord.py library to create an interactive interface that provided convenience and streamlined communication for the team.

  2. 10th place out of 255 teams (top 4%) in the AICUP Explainable Information Tagging Competition for Natural Language Understanding

    10/2022 — 01/2023

    · 自然語言理解的解釋性資訊標記競賽 - AICUP
    · Developed a text model to identify key points in a paragraph that support arguments of agreement or disagreement.
    · Utilized natural language processing and machine learning techniques to analyze the semantic structure of text and extract relevant information.

  3. 14th place out of 859 teams (top 2%) in the Credit Card Category Recommendation Challenge of the 2021 ESUN AI Open Challenge

    10/2022 — 01/2023

    · 玉山人工智慧公開挑戰賽2021冬季賽- 信用卡消費類別推薦
    · Developed a predictive model to forecast the top three consumption categories for the next month for a customer base of 500k.
    · Developed a time-series model utilizing an attention and embedding mechanism, implemented with PyTorch.

  4. 5th place out of 409 teams (top 2%) in the NLP Application Challenge of the 2020 ESUN AI Open Challenge

    07/2020 — 08/2020

    · 玉山人工智慧公開挑戰賽2020夏季賽 - NLP應用挑戰賽
    · Developed a program using Bert, a language model for natural language processing, to detect the names of criminals from news articles.
    · Fine-tuned the model specifically for the target task and submitted the results to the organizer's server within a specified time frame.
    · Implemented named entity recognition, data preprocessing, and BIO tagging techniques to enhance the performance and accuracy of the system.

  5. Best Visual Design in the IGS Creative Game Design Competition

    09/2019 — 01/2020

    · 2020年IGS創意遊戲設計競賽
    · Collaborated with design department students to create a mobile game with an ink-style design.
    · Designed and developed game scenes in Unreal Engine, specializing in creating ink-style particle systems to enhance the overall visual style and gameplay experience.

My skills

  • Natural Language Processing
    90%
  • C/C++
    70%
  • Web development
    70%
  • Game development
    60%

Award