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Cheng-Hua Huang
AI/ML Engineer
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Cheng-Hua Huang

AI/ML Engineer
- AI enthusiast for embracing ML tools to accelerate digital transformation - Fast-learner to adapt himself to interdisciplinary team in dynamic environment
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Pegatron 和碩聯合科技股份有限公司
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EPFL
台北市, 台灣
타이완

Professional Background

  • Current status
    Unemployed
    Open to opportunities
  • Profession
    Machine Learning Engineer
    Research / R&D
    Technical Manager
  • Fields
  • Work experience
    4-6 years (1-2 years relevant)
  • Management
  • Skills
    Microsoft Office
    Python
    Data Visualization
    Data Analytics
    Database
    Artificial Intelligence (AI)
    Large Language Models (LLM)
    Data Science
    Machine Learning
    Statistical Data Analysis
    SQL
    Git
    Generative AI
    Generative AI – LLM -Base model
  • Languages
    English
    Professional
    Chinese
    Native or Bilingual
    French
    Intermediate
    German
    Beginner
  • Highest level of education

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
  • Desired work locations
  • Freelance

Work Experience

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AI Engineer

6월 2024 - 10월 2024
5 mos
Taipei City, Taiwan
Project: AITroubleshooter - RAG-advanced in-house Large language model (LLM) assistant specifically for machine troubleshooting - Designed and developed an agentic workflow capable of delivering real-time solutions to technical questions, significantly enhancing both efficiency and efficacy in troubleshooting
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LLM Research Associate

4월 2023 - 2월 2024
11 mos
Lausanne, Switzerland
Laboratory of Artificial Chemical Intelligence (LIAC) (Prof. Philippe Schwaller) - Leveraging LLMs for chemical reaction prediction - Exploring potential applications for chemical synthesis planning - One workshop paper spotlighted in NeurIPS 2023
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R&D Intern

9월 2022 - 2월 2023
6 mos
Chem. du Closelet 4, 1006 Lausanne, Switzerland
Nestle Research Centre Lausanne - Joined forces with food scientists and data experts to leverage recipe optimization algorithms. - Data analysis and visualization; case studies & insights presentation to teams and department heads.

Education

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Master of Science (MS)
Major in Materials Science & Minor in MicroEngineering
2020 - 2023
5.04/6 GPA
Description
Coursework: Applied Data Analysis, Neuroengineer, App Development
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Bachelor’s Degree
2021 - 2022
Description
An innovative start-up program at the crossroad of education and consulting which aims to help students develop leadership and corporate skills, learn how to work across borders, and collaborate on solving major societal issues and grow into Do Well Do Good leaders.
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Bachelor of Science (BS)
Materials Science
2015 - 2020
4.14/4.3 GPA
Description
Coursework: Text Mining (NLP), Data Structure, Statistics