Education
University of Toronto
Sep 2024 – Now
MEng - Electrical and Computer Engineering
- Machine Learning, Deep Learning, NLP, Reinforcement Learning, Distributed System
University of Toronto Mississauga
Sep 2019 – May 2024
Honours Bachelor of Science (HBSc)
- Computer Science Specialist and Math Minor (CGPA: 3.82 / 4.0)
Experience
Huawei technologies Inc.
May 2022 – Jul 2023
DevOps - Internship
- Contributed to the development of Taurus Multi-Master. The research from 2022 to 2023 was published in VLDB Conference 2023. Link.
- Spearheaded daily QA processes and performance benchmarking, designing and implementing automated testing frameworks for GaussDB and TaurusDB to ensure core database stability and high performance.
- Refactored code testing pipeline by establishing a nightly automated regression testing system, covering 1,000+ unit and integration test cases. This improvement reduced QA workload by 70% during daytime operations, and has become a long-term institutional solution.
- Developed Bash/Python automation toolchain for rapid deployment of multi-node virtualized clusters, utilizing customized Sysbench-TPCC tests to benchmark throughput, tail latency, and other key metrics for research performance comparisons.
Skills
- Python
- C/C++
- PyTorch
- Git
- Deep Learning
- Distributed Systems
- LaTex