About Me

A passionate data science practitioner
My Resume :)

I’m a full-stack Data Scientist and Machine Learning Engineer focused on building real-world, production-grade AI systems. My work spans end-to-end development—from research and modeling to infrastructure, deployment, and continuous improvement. I thrive at the intersection of applied machine learning, scalable systems, and product impact, turning complex ideas into robust, user-facing solutions.

Skills I Have

Mixed background with AI/ML, Economics and Finance

  • Programming: Python, PyTorch, Scala, Java, SQL, Spark
  • ML/AI: Machine Learning, NLP, Deep Learning, Prompt Engineering, AI Engineering
  • Infrastructure: AWS, Ray, distributed systems, scalable model deployment
  • Other: Passed CFA Level I

Biuld real world AL/ML product

Early Time Machine Learning projects applied to real-world business problems.

Mobile In-App Purchase Prediction

Predict user purchase within next 7 days and 14 days. Use time series feature engineering and a stack of classifers to boost the performance.

Apply NLP to Read the World

NLP-related projects including topic modeling, keyword extraction and sentiment analysis.

Keyword Extraction Tool

Flexible multigram non-consecutive keywords extraction tool applied to identify customer concerns.

Explore Data Science

Other data science projects including distributed data system, time series analysis, data visualization, algorithm implementation and web scraping etc.