Hi, I'm Yeyang Liu

AI Researcher & ML Engineer

Master's student at Universität Zürich, specializing in Artificial Intelligence and Data Science. Passionate about NLP, LLMs, and building intelligent systems.

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👩🏻‍💻

// About Me

Background and technical expertise

🎓 Education

M.Sc. Informatics — Universität Zürich
Major: AI | Minor: Data Science | GPA: 5.4/6

B.Sc. Computer Science (AI) — Universiti Malaya
GPA: 3.95/4

🏆 Achievements

1st Place — CLEF 2025 GutBrainIE NER Task

Bronze Medal — Kaggle Competition
Learning Equality - Curriculum Recommendations

// Skills

Python PyTorch TensorFlow Scikit-Learn Pandas NLP LLMs BERT RAG Knowledge Graphs Recommender Systems Git/GitHub Linux SQL MATLAB

// Projects

Selected works and research

2026 Datathon

RobinReal Challenge

Multi-modal, multilingual property search. Owned the retrieval stack: BGE-M3 (dense + sparse) and SigLIP-2 (text↔image) served via ONNX + FAISS, plus 4-language BM25, fused with RRF and diversity-injected. Exposed via FastAPI and MCP.

BGE-M3 SigLIP-2 ONNX + FAISS RRF MCP
View Details → 2025 Master Project

MR Anomaly Detection

Deep learning-based anomaly detection for MR-only radiotherapy QA. Benchmarked 10 models using Anomalib, achieved 0.90 patient-level Dice with PatchCore and validated multi-center generalizability.

Anomalib PatchCore Medical AI NIfTI
View Details → 2025 🥇 1st Place

Biomedical NER System

Developed a MedicalBERT-CRF system for extracting entities from gut-brain PubMed abstracts. Improved micro-f1 by 3% using ensemble and data augmentation strategies.

BERT CRF NER BioNLP
View Details → 2024 Knowledge Graph

Graph-Based Movie Chatbot

QA chatbot answering natural language questions over a movie knowledge graph. Integrated BERT, fuzzy matching, and LLM-based NER with hybrid SPARQL and embedding-based retrieval.

SPARQL BERT LLM KG
View Details → 2024 LLM + RAG

Virtual Patient System

Medical education chatbot using Llama2 and RAG. Features a Virtual Patient module simulating patient interactions and an MCQ generator using MilvusDB and Dragon+ model.

Llama2 RAG MilvusDB Medical AI
View Details → 2023 🥉 Bronze Medal

Curriculum Recommender

Kaggle competition solution matching curriculum contents with topics. Used SimCSE for retrieval with iterative hard example training, achieving 76th place.

SimCSE Transformers Ranking
View Details →

// Small Tools

Selected utility projects

Gmail → Telegram

Personal Gmail Assistant

Automatically scan and filter Gmail messages with predefined keywords, generate AI summaries based on contents, and send a daily digest via Telegram.

Python Gmail API Telegram Bot LLM

// Experience

Professional background

Algorithm Developer Intern

MISUMI Group Inc.
Jul 2023 – Sep 2023 | Shanghai, China
  • Developed domain-specific QA chatbot using ChatGLM2, comparing LoRA fine-tuning with RAG
  • Improved item-based recommendation from word2vec to widedeep, increasing ROC by ~3%

Algorithm Developer Intern

MISUMI Group Inc.
Aug 2022 – Jan 2023 | Shanghai, China
  • Applied ML for user segmentation and profiling aligned with business logic
  • Refactored recommendation project, switching from deepwalk to lightfm
  • Developed price prediction model using AutoGluon with CAD-extracted features

// Get in Touch

I'm always open to discussing AI research, collaboration opportunities, or interesting projects.

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