I'm Ethan Wu.-image

I'm Ethan Wu.

I'm a Machine Learning Software Engineer with 7+ years building scalable machine learning pipelines and conducting both online and offline A/B testing across various industries. Ranked in the Top 30 in Asia's AI competitions and 2nd in Taiwan. Certified in LOMA FLMI.

In my free time, you can catch me training in Muay Thai and Wing Chun, jamming on the guitar, or grabbing a cup of coffee with me.

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about-me-image

About me

With 7+ years of data science experience in NLP, classification, recommendation systems, graph analysis, and Google Analytics-based web tracking, specializing in building scalable and efficient end-to-end ML pipelines and conducting online and offline A/B testing across multiple sectors—including banking, securities, insurance, e-commerce, and software.

  • Location:Taipei, Taiwan
  • Interests:Wing Chun, Muay Thai, Guitar
  • Study:MBA, NSYSU
  • Employment:Financial sector

Education

Master of Business Administration

National Sun Yat-sen University•Before 2020
  • Machine Learning, Econometrics, Portfolio Management.

Work

Machine Learning Software Engineer

Multiple sectors(banking, securities, insurance, e-commerce, software)•7+ years experience
  • Acted as the lead technical developer for cross-industry collaborations, both internally and externally. Developed unique algorithms for AI invention patents (NLP/Classification/Recommendation/Graph) on-premises and in the cloud.
  • Achieving a 3x+ increase in CVR via A/B testing, generating over 100 million in data-driven sales, boosting purchase response rates by 1.5x+, and expanding lookalike customers by over 1 million.

Kaggler

AI Competitions•June 2020 to present

《Shopee Code League 2021》

  • Top 30 teams of 15000 participants in open category (NLP, data analysis, algorithms).

《I'm the Best Coder! Challenge 2020》

  • 5th in User Spending Prediction (Recommendation forecasting task).

《Shopee Code League 2020》

  • 15th in Sentiment Analysis (NLP task).
  • 23rd in Product Title Translation (NLP task, BLEU score: 40.5).
  • 47th in Order Brushing (accuracy: 0.9779).
  • 67th, score 0.81 accuracy in Product Detection (Computer Vision task).

《2019 Autumn E.Sun Bank AI Open Competition – Credit Card Fraud Detection》

  • Ranked 2nd among the final 20 teams.

Skills

Spoken languages
Mandarin
English
Japanese
Machine Learning
Classification
Natural Language Processing
Recommendation
Programming Language
Python
SQL/SAS/R
React
Software development
Streamlit SDK
Docker
PostgreSQL

Portfolio

Auto-Lookalike ML service

Auto-Lookalike ML service

Built a machine learning data product using React for the front-end and Dockerized microservices for the back-end, featuring a scalable, modular architecture with clean front-end/back-end separation to enable efficient development and deployment.

Finsight Catalyst

Finsight Catalyst

A user-friendly NLP tagging product built with modern web technologies and a microservices-based structure.

GA4 Marketing Automation Portal

GA4 Marketing Automation Portal

A personalized recommendation system using digital tracking and customer identification to deliver smarter suggestions.

Solutions for AI Competitions

Solutions for AI Competitions

Transfers business insights into a complete machine learning-driven process, particularly in competition domains such as Fraud Detection, NLP, Computer Vision, and Recommendation systems.

Let's solve real-world problems together 👋

How to reach me 💬

LinkedIn
Ethan Wu
Github
cubatlin
© Copyright 2025 Ethan Wu
Based on code originally developed by Tim Baker.
Licensed under the MIT License.