Introduction

I am a second-year graduate student in Master of Science in Intelligent Information Systems (MIIS) at the School of Computer Science, Carnegie Mellon University (CMU). Previously I completed my bachelor study in Data Science and Technology in the Hong Kong University of Science and Technology (HKUST).

I’m a cell-like independent teamworker, strong in research and coding. I have strong background in Machine Learning (NLP, Knowledge Graph, CV) and Software Engineering (Search Engine, backend). Currently I am open to new Software Engineering or Machine Learning opportunities. If you think I’m a good fit, please contant me via bbxzlpl@gmail.com.

Educational Experience:

Carnegie Mellon University – School of Computer Science

• Pittsburgh (Aug 2021 - May 2023)
• Master of Science in Intelligent Information Systems (GPA: 3.89/4.0)
• Selected Coursework: Machine Learning, Deep Learning, Machine Learning in Production, Search Engines, Advanced NLP, Applied Distributed System, Introduction to Computer Systems

The Hong Kong University of Science and Technology (HKUST)

• Hong Kong (Sep 2017 – June 2021)
• Bachelor of Science in Data Science and Technology (GPA: 3.8/4.3)
• Minor in Big Data Technology (Major GPA: 4.16/4.3)
• Honor and Rewards:
  1. First Class Honor Degree Classification
  2. University’s Scholarship Scheme for Continuing Undergraduate Students (2019/20, 2020/21)
  3. Dean’s List (Spring 2018-19, Fall 2019-20, Spring 2019-20, Spring 2020-21)
  4. Chern Class Scholarship
• Selected Coursework:
  1. Computer Science: Algorithms and Data Structures, Cloud Computing, Big Data Mining, Object-Oriented Programming, Image Processing, Internet Computing, Principles of Cybersecurity.
  2. Mathematics: Regression Analysis, Statistical Inference, Data Analytic Tools, Matrix Computation, Probability, Mathematical Analysis, Honors in Linear and Abstract Algebra, Applied Statistics.

Skills:

Programming Languages:

• Python
• C/C++
• Java
• HTML/CSS
• Javascript (Design Patterns, Testes)
• AngularJS - ReactJS
• R
• MATLAB
• Presto
• Git
• PHP
• Haskell
• MySQL - MongoDB

Tools & Libraries:

• Pytorch
• Pandas
• Numpy
• Tensorflow
• Spark
• Scikit-learn
• Hadoop
• Kubernetes
• Linux

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