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Hi there! I'm

Archer Liu

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ABOUT

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Education

ZJU LogoB.A. in Communication @ZJU
UBC LogoMaster of Data Science @UBC

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Core Interests

Data Science, Computational Social Science, Large Language Models, Multimodal Data Analytics, Human-AI Interaction

Welcome to my personal website! My name is Rongze Liu, but you can call me Archer. I'm a data science graduate student with a passion for machine learning and computational social science, applying deep learning, nlp, and multimodal analytics to understand the world.

โณ Age:

๐Ÿ“ Life route: ๐Ÿก Lishui, CN โ†’ ๐ŸŽ“ Hangzhou, CN โ†’ ๐Ÿ Vancouver, CA

Fun facts:

  • I started primary school before the age of 6 (technically illegal, but in the name of early learning passion๐Ÿ˜น).
  • In the past 5 years, I've explored 4 fields: ๐Ÿฅผ Chem & Bio โ†’ ๐Ÿ“ฐ Commnunication โ†’ ๐Ÿ› ๏ธ Software QA โ†’ ๐Ÿ“ˆ DS & ML.
  • In my free time, you'll find me testing my kitchen's fire alarm trying new recipes or playing video games. ๐ŸŽฎ
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SKILLS

LANGUAGES

Python

Experienced

R

Experienced

C

Experienced

Go

Intermediate

HTML

Elementary

JavaScript

Elementary

CSS

Elementary

CORE LIBS

Pandas

Experienced

NumPy

Experienced

Pytest

Experienced

Selenium

Experienced

sklearn

Intermediate

PyTorch

Intermediate

Flask

Elementary

OpenCV

Elementary

DEV TOOLS

Git

Experienced

PostgreSQL

Experienced

MongoDB

Experienced

Docker

Intermediate

Poetry

Intermediate

Jenkins

Intermediate

Postman

Intermediate

Figma

Elementary

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EXPERIENCE

Education

University of British Columbia

Vancouver, BC, Canada

Major: M.S. in Data Science   |   Grades: 93.9 (A+)

Core courses: Algorithms and Data Structures, Stat Inference and Computation, Databases and Data Retrieval, Data Visualization, Collaborative Software Development, Web and Cloud Computing, Advanced Machine Learning

Zhejiang University

Hangzhou, Zhejiang, China

Major: B.A. in Communication   |   GPA: 3.95/4.0

Core courses: Advanced Mathematics, Statistics, Python Programming, C Programming

Honors & Awards: Zhejiang Provincial Government Scholarship (Top 5%), Zhejiang University Scholarship - Second Prize (Top 10%), Academic Excellence Award

Publications

  • Liu, R., Pei, J., Zhu, J., From Pixels to Personas: Tracking the Evolution of Anime Characters. Under review at International AAAI Conference on Web and Social Media, 2026.

Research Experience

Research Assistant

University of British Columbia, Vancouver, BC, Canada
  • Engineered ETL pipelines to scrape and process 140K+ anime characters, generating visual and text embeddings for large-scale multi-modal analysis.
  • Developed automated LLM-based annotation pipelines (Qwen3-8B via vLLM) and fine-tuned DINOv2 for temporal classification, achieving 49.8% accuracy and 0.50 weighted F1 (+177.5% vs majority vote).
  • Applied UMAP and Leiden community detection to identify core archetypes and their temporal evolution.

Undergraduate Thesis Research

Zhejiang University, Hangzhou, China

"Fading Journalism Ideals: A Text Mining Study on the Zhang Xuefeng Controversy"

  • Applied LDA topic modeling with systematic coherence and perplexity optimization to extract 6 discourse themes from 7,500+ Weibo comments.
  • Boosted sentiment analysis accuracy to 83% by fine-tuning SnowNLP, achieving 25% improvement over baseline and revealing opinion leaders' agenda-setting influence.

Work Experience

MLOps Engineer Intern (Capstone)

Bayes Studio Inc., Vancouver, BC, Canada
  • Implemented an end-to-end CI/CD/CT pipeline using Docker and GitHub Actions for model training, optimization, and deployment of a wildfire detection system.
  • Developed a human-in-the-loop labeling system with Label Studio to reconcile YOLOv8 and Grounding DINO predictions, boosting training data quality and reducing manual labeling time by 45%.
  • Optimized models with distillation and quantization, reducing size and improving speed for edge deployment.

Software QA Engineer Intern

Isvision Technology Co., LTD., Hangzhou, Zhejiang, China
  • Designed and implemented comprehensive test plans for Web UI components of AccuAnalyzer, ensuring full coverage of 11 core modules, enhancing the robustness and reliability of the automotive manufacturing monitor.
  • Developed and automated backend API tests for UserManager, writing and refining 400+ test cases to enhance system reliability, data security, and privacy compliance.
  • Developed a hardware testing simulator in Go to validate measurement accuracy by generating random deviations and outputting DMO files, including data processing, conversion, and applying deviation algorithms based on predefined rules.
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PROJECTS

GameQuest

GameQuest

GameQuest is a full-stack game recommender app that leverages Agentic RAG with semantic, visual, and structured retrieval.

Heart Disease Predictor

Heart Disease Predictor

A machine learning project for predicting heart disease using patient health data from the Cleveland database.

SharpEdge

SharpEdge

SharpEdge is a versatile package for image transformation, colorscale conversion, image shrinking, and content-aware resizing.

VDash

VDash

An interactive dashboard offering dynamic filters and visuals to compare vehicles by performance, pricing, and key features.

VDash

Analytica 2024

Finding a data analyst job in Canada can be overwhelming. This dashboard helps job seekers prepare better for the competitive job market.

Multi Mode Snake Game

Multi Mode Snake Game

An interactive Snake game featuring multiple modes: Classic Mode, 2-Player Competitive Mode, Obstacle Mode, and Portal Mode.

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CONTACT

Thanks for visiting my website! ๐Ÿ˜ธ Feel free to connect with me!

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