KaiNeng Chiu

KaiNeng Chiu

Intern

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  • Timeline

  • About me

    Machine Learning Engineer

  • Education

    • National Kaohsiung University of Science and Technology

      2021 - 2022
      Master of Engineering - MEng Electronic Engineering GPA: 3.86/4

      Research areas cover Deep Learning, Machine Learning, Smart Manufacturing, and System Integration

    • National Kaohsiung University of Science and Technology

      2017 - 2021
      Bachelor of Engineering - BE Electronic Engineering

      Activities and Societies: Participated in the classical guitar club, jazz aerobic club and mountaineering club, and was also the taekwondo school team, and won the fifth best result in the country The university used to intern at a semiconductor equipment manufacturer. Responsible areas include IOT Internet of Things and microcomputer embedded systems, electronic circuit design and maintenance, PCB Layout.

  • Experience

    • INIKI

      Mar 2019 - Jun 2020
      Intern

      Semiconductor equipment manufacturer and educational business development(Firmware Design, PCB Layout, ROS)1. Embedded system firmware compilation2. Circuit design and verification PCB Layout3. Assist ROS development and testing

    • Metal Industries Research & Development Centre

      Aug 2020 - Jul 2022
      Intern

      Due to the cooperation of the DiGi+ Talent cross-domain digital talent acceleration plan of the Industrial Bureau of the Ministry of Economic Affairs(Deep Learning, Machine Learning, Data Scientist, IOT, AOI)1. Introduce AI artificial intelligence and big data applications to assist in the transformation and value addition of traditional industries.2. Detection of flaws in high-value CT images3. IOT information security set-top box4. Image-assisted identification of steel plate long frame5. AOI image for full inspection of high-precision and high-value screws6. Aerospace industry production data visualization and data analysis Show less

    • AUO

      Jul 2022 - Mar 2024
      Data Scientist

      Generative AI• Data Cleaning for LLM fine-tuning• Developing RAG for domain knowledgeData Science and Yield Improvement Analysis• Drift Detection Method (DDM)• Out of Distribution (OOD)• Model Explainability (SHAP)Image Recognition and Defect Detection Techniques• Classification / Object Detection / Semantic SegmentationAI System Development and Database Integration• Django / Flask / FastAPI• MySQL / Oracle / MongoDBCloud Computing and Distributed Computing Development• Utilizing Microsoft Azure and Spark Show less

    • ASUS

      Mar 2024 - now
      Machine Learning Engineer

      Focused on generative models, retrieval-augmented generation (RAG), Text2SQL, and LLM fine-tuning.• Generative AI & Data Optimization: Develop synthetic data pipelines, leverage Gemma / Llama for Traditional Chinese preprocessing.• RAG & Prompt Engineering: Optimize DSPy-based prompting, enhance domain-specific retrieval, deploy edge AI with Microsoft Semantic Kernel.• AI + BI Integration: Build Text-to-SQL automation, integrate AI-driven analytics with client SQL databases.• LLM Fine-Tuning & Localization: Adapt SLMs using Taiwanese knowledge bases, collaborate with TWS for localized AI solutions.Passionate about LLM deployment, retrieval-based AI, and domain-specific adaptation. Show less

  • Licenses & Certifications

    • Professional Vocabulary Quotient Credential

      Global Learning & Assessment Development
      Nov 2018
    • 98-381:MTA: Introduction to Programming using Python

      微軟公司
      Jun 2020
    • Microsoft Certified: Azure Fundamentals

      Microsoft
      Nov 2022
      View certificate certificate
    • 工控資安管理國際標準基礎專家 IEC 62443

      Institute for Information Industry
      Oct 2019
    • Gemini Certified Educator

      谷歌
      Sept 2025
      View certificate certificate
    • Prompt Design in Vertex AI Skill Badge

      Google
      Oct 2024
      View certificate certificate
    • AI Agents Fundamentals

      Hugging Face
      May 2025
      View certificate certificate