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.