Open to opportunities

Kuan-Lin Lai (Billy)

Quant, Data Science & AI Engineering

I'm an MS student in Computer Science at National Taiwan University. I build machine learning and AI tools that turn messy data into better decisions, from trading research to business analytics.

Email me LinkedIn ↗ GitHub ↗
Now
MS CSIE, National Taiwan University
Graduating
June 2027
Location
Based in Taiwan. Open to relocation worldwide or remote.

Previously at

  • Apple
  • CTBC Bank
  • KGI Securities
  • Academia Sinica

01Experience

  1. CTBC Bank

    Capital Markets Dept., Quant Team

    Quantitative Analyst Intern

    Jul 2026 – Aug 2026
    • Researched multi-asset analog patterns combining price, macro, and technical features to find potential trading signals.
    • Built a chart-pattern recognition tool that detects 17 technical patterns and measures signal performance for strategy selection.
    • Turned signal distributions into portfolio downside scenarios and risk alerts for risk-aware trading decisions.
    • Quant research
    • Trading signals
    • Pattern recognition

  2. KGI Securities

    Equity Derivatives Dept., Quant Team

    Quantitative Analyst Intern

    Oct 2025 – Mar 2026
    • Analyzed ETF large-trader activity and pricing deviations to estimate adjusted arbitrage P&L and assess strategy viability.
    • Developed data pipelines turning intraday market data into performance metrics for data-driven trading decisions.
    • Designed dashboards quantifying multi-factor market risk across 2,000+ equities, reducing manual monitoring.
    • Quant trading
    • Derivatives
    • ETF arbitrage

  3. Apple

    Data Scientist Intern

    Oct 2024 – Sep 2025
    • Automated marketing tracking across social platforms with end-to-end LLM workflows for campaign analysis.
    • Developed data pipelines that extract and structure campaign and product insights for business teams.
    • Worked with cross-functional teams to design applied AI solutions that fit into business processes.
    • LLM applications
    • Data pipelines
    • Business analytics

    Data Analytics Engineer Intern

    Mar 2024 – Sep 2024
    • Designed 10+ Tableau dashboards for inventory optimization and demand forecasting.
    • Built automated data pipelines improving the accessibility and quality of sales and inventory analytics.
    • Supported A/B tests evaluating channel promotions and turned results into recommendations.
    • Data engineering
    • Demand forecasting
    • A/B testing

  4. WorldQuant

    Quantitative Research Consultant (part-time)

    Oct 2023 – Mar 2024
    • Researched alpha strategies for U.S. equities through paper review, experimental design, and backtesting.
    • Designed automated alpha-generation pipelines to speed up trading-signal research.
    • Alpha research
    • Backtesting
    • Automation

  5. Academia Sinica

    Research Center for IT Innovation

    Research Intern

    Jul 2023 – Aug 2023
    • Analyzed 1.2M+ products and 9K+ search queries to build deep-learning solutions for product search relevance.
    • Generated embeddings with graph neural networks, improving a learning-to-rank model’s nDCG by up to 10%.
    • Deep learning
    • Graph neural networks
    • Learning to rank

02Projects

Product · Web

TalkGrade →

An AI speaking tutor for the TOEFL: timed practice, automatic scoring, and personalized feedback on every answer.

Open source · macOS

SemSearch →

Find files and apps on your Mac by describing them, in any language. Runs fully on-device.

Closed source · Research app

Pattern Lab →

A multi-asset research app that finds past market patterns like today’s and shows how they played out, with calibrated odds and an auditable track record.

More experiments and smaller tools on GitHub ↗

03Skills

Programming

  • Python
  • SQL
  • R
  • JavaScript
  • Shell

Data & ML

  • PyTorch
  • LLM workflows
  • Graph neural networks
  • Learning to rank
  • A/B testing
  • Backtesting

Tools

  • Tableau
  • MongoDB
  • Docker
  • AWS
  • Streamlit
  • n8n

Languages

  • English (full professional)
  • Mandarin (native)

04Education

Feb 2025 – Jun 2027 (expected)

National Taiwan University

MS, Computer Science and Information Engineering

  • GPA 4.3 / 4.3, ranked 1 of 210

Sep 2020 – Jun 2024

National Dong Hwa University

BBA in Finance, minor in Information Management

  • GPA 4.32 / 4.5, ranked 1 of 70
  • Academic Excellence Award ×4, National Research Grant ×2

Selected courseworkStatistics, Econometrics, Financial Mathematics, Financial Computing, Quantitative Analysis, Algorithms, Machine Learning Systems, Deep Learning, Data Mining, Text Mining, Big Data Analytics

05Writing

Coming soon

New posts are on the way.

Let's talk.

I'm open to new opportunities. Feel free to reach out.

[email protected] LinkedIn ↗