Education

  • Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University, 2018 - 2022
  • M.S. in Systems Engineering, UC Berkeley, 2016 - 2017
  • B.S. in Civil Engineering, Tsinghua University, 2012 - 2016
  • Second Bachelor’s Degree in Economics, Tsinghua University, 2014 - 2016

Experience

  • Summer 2021: Software Engineering Intern - Facebook, Seattle
    • Team: Signals Intelligence
    • Project: E2E data validation for multi-party computation based private data aggregation
    • Highlights: Python, Presto
  • Summer 2020: Software Engineering Intern - Google, Sunnyvale
    • Team: Knowledge Engine
    • Project: Building a chatbot for a Google’s internal service
    • Highlights: C++, Protobuf
  • Spring 2020: Teaching Assistant - CMU, ECE
    • Course: 18665 Advanced Probability & Statistics for Engineers
  • Fall 2019: Teaching Assistant - CMU, ECE
    • Course: 18661 Introduction to Machine Learning for Engineers
  • Summer 2019: Intern Technical PHD - PayPal, San Jose
    • Team: Core data platform
    • Project: Adaptive load balancing of database proxies
    • Highlights: Linux kernel, Asynchronous I/O, Golang
  • Summer 2015: Research Assistant - GaTech, CEE
    • Responsibilities: FEM modeling, experiments, data analysis
    • Advisor: Prof. Yang Wang

Awards

  • 2020: IEEE INFOCOM Student Conference Grant
  • 2019: Ann and Martin McGuinn Graduate Fellowship, CMU ECE
  • 2018: David Barakat and LaVerne Owen-Barakat Fellowship, CMU ECE
  • 2018: ACM SIGMETRICS Student Travel Grant

Skills

  • Programming Languages: C, C++, C#, Java, GoLang, Python, SQL, JavaScript, Matlab
  • Parallel/Distributed Computing: Hadoop, Spark, OpenMP, SIMD, Terraform
  • Machine Learning: PyTorch, Keras, SciKits, NumPy, Pandas, CVX
  • Others: Bash, Git, Maven, Vim, Postgres, LaTeX

Download: CV.