Designed and implemented a distributed system to generate usage demand forecast distribution for different EC2 instance sizes.
Designed and implemented several algorithms and a distributed system to move EC2 capacity among different instance sizes based on current supply and demand forecast.
The service helps reduce EC2 Insufficient Capacity Exception and increase the fleet utilization to meet high EC2 availability.
July 2018 - June 2019 Full-time
IoT Greengrass
Amazon Web Service
Implemented deployment process to deploy AWS Lambda to Greengrass core running on edge devices.
Designed and implemented a metric data pipeline to collect business metric for Greengrass.
Worked on Greengrass test system to test Greengrass on different types of hardware devices.
May 2017 - Aug 2017 Intern
IoT Greengrass
Amazon Web Service
Built a robot to demonstrate different features of AWS Greengrass to customers.
Dec 2015 - April 2016 Intern
Software Analytics
Microsoft Research Asia
Used various analytic and computing technologies such as machine learning, data mining, and large-scale data computing & processing to enable software practitioners to perform effective and efficient data exploration and analysis in order to obtain insightful and actionable information for data-driven tasks in online services.
Education
2016 - 2018
Master of Science (M.S.), Computer Science
University Of Southern California
Master Student in Computer Science, Viterbi School of Engineering.
Grade: 3.95 / 4.0.
Teaching Assistant for CSCI-104 Data Structure and Object Oriented Design.
2012 - 2016
Bachelor of Science (B.S.), Computer Science
Sun Yat-sen University
Bachelor Student in Computer Science, School of Data and Computer Science.