Electrical and Computer Engineering - Machine Learning and Data Science
GPA: 3.75/4.00
September 2018 - PresentElectrical Engineering and Computer Science
Rank: 3/28 GPA: 4.05/4.30
September 2013 - June 2017Achieved 3 kinds of dashboards on Splunk for monitoring the CPU, memory usage, local storage usage, the health of thread, etc. in each endpoint.
Developed automatic alert system via slack using anomaly detection in Splunk Machine Learning toolkit.
Expedited problem-solving time about 30% by my Splunk App.
Investigated autonomous driving semantic segmentation model using RGB and Depth information..
Achieved 71.3% mIoU on the Cityscapes dataset with 3.3% improvement over baseline.
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Coordinated a 6-day, 120-person summer camp event; supervised preparation.