-
🎓 Education
- Master’s in Electrical Engineering, NKUST
- Bachelor’s in Electrical Engineering, KUAS
-
🔭 Expertise
- Artificial Intelligence:
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
- Medical Speech De-identification
- Full Stack Development:
- Blockchain & Smart Contracts
- React / React Native
- Flask API Development
- Android & iOS Development
- Artificial Intelligence:
-
❤ Programming Skills
- Python (Main Skill)
- JavaScript, HTML, CSS (Front-end)
- C / C++ (Firmware & Embedded)
-
🏆 Major Achievements
- 🥇 Champion — 2025 AI CUP 教育部全國大專校院人工智慧競賽
- 🥈 Silver Medal — 2023 AI CUP 教育部全國大專校院人工智慧競賽
- 🥉 Honorable Mention — 2024 iThome 鐵人賽 (AI & Data)
- 🥉 Honorable Mention — 2023 iThome 鐵人賽 (AI & Data)
- 🥉 Honorable Mention — 2022 iThome 鐵人賽 (AI & Data)
- 🎊 Best Popular Choice Award — 2021 KUAS Project Competition
-
📚 Books Authored
- AI程式設計、深度學習與LLM入門到精通 (In Progress, 2025)
- 全面掌握生成式 AI 與 LLM 開發實務, 2024
- 從零開始的 AI 程式設計養成之路, 2023
-
📫 Contact Me
- Email: austin70915@gmail.com
- Discord: austin70915#3980
- Instagram: austin70915
Pinned Loading
-
holocure-trainer
holocure-trainer PublicThis project can assist in dynamically modifying the HoloCure and editor save file.
-
learn-AI-in-30-days-book-version
learn-AI-in-30-days-book-version PublicChatGPT X Keras X PyTorch 全方位應用實踐指南:從零開始的 AI 程式設計養成之路。2022年iThome鐵人賽「新手也能懂得AI-深入淺出的AI課程」的書籍版本,本書將會使用更乾淨的程式碼與更詳細的內容來帶你學會人工智慧的技術
-
learn-NLP-in-30-days-book-version
learn-NLP-in-30-days-book-version Public本書內容改編自第15屆iThome鐵人賽AI & Data組佳作系列文章《30天內成為NLP大師:掌握關鍵工具和技巧》。本書從基礎理論到實務應用,詳細介紹了自然語言處理的發展過程及相關技術,且循序漸進解釋了AI中的數學原理,如線性代數、矩陣相乘及機率,並將這些理論應用於深度學習模型中。
-
learn-AI-in-30-days
learn-AI-in-30-days Public2022年iThome鐵人賽「AI & Data」組佳作【新手也能懂得AI-深入淺出的AI課程】完整程式碼,該文章會從安裝Python開始到理解AI的程式與理論
-
iThome2023-learn-NLP-in-30-days
iThome2023-learn-NLP-in-30-days Public2023年iThome鐵人賽「AI & Data」組佳作【30天內成為NLP大師:掌握關鍵工具和技巧】完整程式碼,該文章會從零開始教你該如何微調大型語言模型
-
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.
