GH IG

Hi, I'm Hsin-Ying (Cindy) Lee
Creative Developer (& Bagel Lover)

I build digital experiences that are clean, accessible, and delightful to use. Based in Hsinchu, Taiwan.

About Me

My introduction

I am an interdisciplinary researcher working at the intersection of computational linguistics, artificial intelligence, and digital humanities. My work integrates quantitative text analysis, natural language processing, and literary interpretation. I am currently developing statistical and thematic models for Middle English narrative structure, with a focus on ambiguity, authorship, and systemic-functional linguistic characterization.

I am preparing for graduate studies in AI, NLP, or digital humanities, and I am actively engaged in cross-disciplinary collaborations across humanities and computer-science domains.

03+ Years
experience

20+ Projects
completed

Agile Work
style

Education & Academics

National Yang Ming Chiao Tung University (NYCU)

Bachelor of Arts, Foreign Languages and Literatures Arete Honors Program Concentration: AI in Engineering and Science Graduates June 2026

Academic Interests

Computational Linguistics • Digital Humanities
Middle English Textual Analysis

Standardized Tests

GRE: 326 (AWA 4.0 / V 159 / Q 167) TOEFL: 114 (R 30 / L 29 / S 25 / W 30)

Data & Machine Learning

ML Models

XGBoost, CatBoost, LightGBM, Random Forests

Quantitative Eval

MAE, RMSE, R², MAPE, Directional Accuracy

Time-Series

Multi-year forecasting, Decay weighting

NLP

Tokenization, Regex, Text norm, Corpus annotation, CLTK

Portfolio

Most recent work

Student Researcher · 2024-2026

Gawain or Gawain't ⚔️

Quantifying Ambiguous Salvation in Sir Gawain.
Built an annotated corpus mapping lexical variance to ideational & interpersonal linguistic categories. Accepted for TACMRS 2026.

Digital Humanities Comp-Ling NLP

View Abstract

AI Stock Consultant · Nov 2025

FinChat 📈

Real-time Investment Dashboard.
Natural-language stock insights & trend viz using Gemini 2.0 Flash Lite + yfinance.

Streamlit Gemini 2.0 Plotly

View App

Zen Bot 🤖

Automated tools for stress-relieving content.

Web App API

View Demo

Contact Me

Get in touch

Email

hycindylee@gmail.com Write me

Gawain or Gawain't?
Abstract

Often, large language models (LLMs) hallucinate or give false information when answering user queries. Retrieval-Augmented Generation (RAG) is a technique that mitigates this by allowing the LLM to access a knowledge base of relevant documents. This project implements a RAG pipeline and evaluates its performance qualitatively.

Hi, I'm Hsin-Ying (Cindy) Lee Creative Developer (& Bagel Lover)