Yi-Ting Lee

Software Engineer | Backend, Data & Machine Learning
yitinglee.let@gmail.com github.com/leeeating linkedin.com/in/yi-ting-lee

Summary

M.S. in Data Science (NCKU) with a Statistics background, now a backend engineer delivering production systems in C# (.NET) on Azure. Works across MSSQL schema design, data processing, and machine learning — able to take a data or ML project from notebook to production.

Experience

IT Engineer — B2B E-commerce Company Jan. 2026 – Present
  • Eliminated full-table scans by decomposing JSON fields into indexed MSSQL columns, cutting page load time to under 1 second.
  • Migrated a production system from .NET Framework 4.8 to .NET 9, resolving breaking changes.
  • Built an internal B2B system end-to-end — C# (.NET), MSSQL, Azure — used daily by internal teams.
  • Built Azure DevOps CI/CD pipelines, containerized services with Docker, and unit tests for core logic.
  • Shipped an internal RAG knowledge-base assistant to production (OpenAI / Claude APIs, vector DB).
Teaching Assistant — National Cheng Kung University (NCKU) Feb. 2024 – Jun. 2024 · 5 mos
  • Taught foundational Python programming and deep learning; provided code debugging support to students.
  • Designed coding assignments and exams; clarified core programming and statistical concepts for students.

Projects

Stock Prediction — 2025 SinoPac AI GO Competition (GitHub) Python, LightGBM, Jupyter
  • Built a reproducible pipeline on noisy market data (cleaning, EDA, feature engineering) and trained a LightGBM model with feature-importance analysis, benchmarked against a deep learning model.
Active Learning Research — Experiment Framework (GitHub) Python, PyTorch
  • Built a modular experiment framework where datasets, models, and sampling strategies are swappable components behind a common interface.
  • Implemented a custom query-sampling strategy (InfoSE), benchmarked against standard baselines.

Skills

Programming
Python, C#, SQL
Backend / Cloud
.NET, ASP.NET Core Web API, REST APIs; Microsoft Azure (App Service, Azure SQL, DevOps)
Databases / Data
MSSQL (T-SQL, stored procedures, query optimization), Pandas, NumPy
ML / Deep Learning
PyTorch, scikit-learn, LightGBM; Deep Learning
LLM / AI Agent
OpenAI / Claude API, RAG (vector database), prompt engineering
Tools
Git, Docker, CI/CD, Linux
Languages
Chinese (native), English (TOEIC 665)

Education

M.S. in Data Science — National Cheng Kung University (NCKU) 2023 – 2025
GPA: 4.2 / 4.3
  • Coursework: Deep Learning, Machine Learning, Graph Neural Networks, Data Science, Software Design.
B.S. in Statistics — Tunghai University 2018 – 2022
  • Coursework: Data Analysis, Data Science, Statistics, Python.