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Vicky
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About Me

👋 Hi, I’m Wen-Chi Tsai (Vicky)

I am a Computer Science student at National Central University (NCU, Taiwan)
with a strong focus on AI systems, ML engineering, intelligent information systems, and mobile development.

My work spans language technologies (RAG, LLM compression, retrieval systems),
computer vision, cloud & distributed systems, and full-stack mobile applications.

I am passionate about building reliable, scalable, and human-centered intelligent systems—
from visual understanding for museum visitors, to UAV spatial reasoning,
to production-ready language technology tools used across engineering teams.

🔬 What I Work On

AI & Intelligent Systems

  • RAG systems, vector retrieval, search relevance optimization
  • LLM compression & distillation for resource-constrained deployment
  • Information retrieval & semantic understanding
  • Explainability & trust in intelligent systems

Machine Learning Engineering

  • Computer vision (YOLOv8, GANs, mmWave radar ML)
  • Model optimization (ONNX, latency tuning, caching strategies)
  • Data engineering pipelines (LanceDB, Pandas, NumPy)

Systems & Infrastructure

  • Cloud deployment (Docker, AWS EC2, Nginx)
  • Backend engineering (Flask, REST APIs)
  • CI/CD, model monitoring, scalable service design

Mobile & Frontend

  • iOS development with Swift & UIKit
  • Hybrid ML–mobile applications
  • Interface design for intelligent systems

🏢 Experience

Software Engineering Intern — ASUS

Worked on production-scale LLM tools used by 200+ engineers.
Built:

  • A RAG-powered coding assistant
  • An LLM issue classifier
  • An automated context indexer for code repositories
  • A TypeScript E2E testing framework raising coverage to 63%

AI Research Intern — AI Post

  • Write technical articles on AI agents, Vibe Coding, and LLM development
  • Teach large-scale online workshops (50,000+ cumulative learners)
  • Organize Women-in-Tech learning series and STEM outreach

Undergraduate Researcher — NCU Wireless Ad-Hoc & Sensor Networks Lab

Researching:

  • LLM compression and distillation for factory edge devices
  • UAV inspection systems with geometric planning and point-cloud processing

🧠 What I’m Learning Now

  • Advanced Information Retrieval
  • Neural Code Generation
  • ML systems for large-scale developer tools
  • Swift concurrency & modern iOS design patterns
  • Agentic AI frameworks for real-world automation

🎧 Outside of Tech

I enjoy concerts, photography, and following the work of artists like NewJeans, Mamamoo, and aespa.
Good music always helps me think more clearly while coding.
Bubble Gum Concept

📬 Connect With Me