Mentor

David CHIU

PERSONAL BIO WORK EXPERIENCE AND AWARDS EDUCATIONAL BACKGROUND INSTRUCTION LANGUAGES Job Positions

丘祐瑋 David CHIU

JOB TITLE

Founder & CEO

DEPARTMENT

LargitData/

INSTRUCTION LANGUAGES

Mandarin
English

LargitData

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PERSONAL BIO

David Chiu is the Founder and CEO of LargitData Co., Ltd., with a strong background in data science and AI technologies. He is proficient in using R and Python for Big Data analytics and machine learning. Under his leadership, LargitData has developed several core products, including the InfoMiner public opinion analysis platform, the RAGi enterprise generative AI system, and the AIMochi smart meeting assistant. With outstanding growth and technological capabilities, he led the company to be recognized in the Financial Times 2024 list of the Top 500 High-Growth Companies in the Asia-Pacific region.

WORK EXPERIENCE AND AWARDS

[Work Experiences]

Founder and CEO, LargitData Inc., Taiwan (2014 - present)

Engineer, Trend Micro Incorporated, Taiwan（2012- 2013)

[Achievements]

19th Golden Peak Award: Outstanding Entrepreneur Model & Outstanding Product, outstanding Enterprise Manager Association (2019)

EDUCATIONAL BACKGROUND

Master in Biomedical Informatics, National Yang Ming Chiao Tung University, Taiwan
Bachelor in Computer Science, National Chengchi University, Taiwan

Job Positions

Brief Introduction of the Department

The Research & Development (R&D) team at LargitData develops and delivers the company’s core AI and data products, including:
- InfoMiner – an online public-opinion monitoring tool
- AIMochi – a personal AI assistant
- RAGi – an enterprise-focused Retrieval-Augmented Generation system
Our mission is to transform cutting-edge research into reliable, auditable solutions that drive real-world impact for government and enterprise clients.

Department Staff Number

- More than 10 people

Internship Job Description

Utilize open-source tools (primarily on GitHub) to build automation tools (e.g. data pipelines, batch evaluations, report generation)

Responsibilities include:

- Writing reproducible experiment scripts and reports
- Consolidating key metrics (e.g. accuracy, latency, cost, hallucination rate)
- Proposing optimization recommendations based on experimental results
- LLM testing and evaluation
- Comparison of RAG (Retrieval-Augmented Generation) approaches
- Data preprocessing and annotation
- Feature engineering
- Fine-tuning of small models

Preferred Intern Education Level

- Undergraduate students
- Undergraduate students (third year and above)
- Master students

Preferred Intern Skill Sets or Qualities

- Solid Python skills; hands-on experience with NumPy/Pandas
- Familiarity with PyTorch or TensorFlow; basic ML theory
- Data wrangling/cleaning; prompt design & evaluation
- Git/GitHub workflow; reproducible experiments
- Curiosity, ownership, strong communication, team player
- Basic English reading for papers/documents

Others

- Expected working hours per week: 8-20
- Salary/Financial Support: NT$200~250 per hour
- Benefits not provided

Students may be offered the opportunity to continue as interns for up to one additional year after completing the NTU International Mentorship Program, at the discretion of the host organization.

NTU INTERNATIONAL
MENTORSHIP
PROGRAM

The Right Path for Your Career

ORGANIZER

ADVISORY ORGANIZATION

PARTNERSHIP ALLIANCE

+886-2-3366-2007

ntuoiaintern@ntu.edu.tw

oia.ntu.edu.tw