Summary
Shike Li is a software engineer with 11 years of experience building high-throughput, data-driven systems for advertising and measurement at Amazon and Meta. He combines a strong foundation in machine learning and computational finance (Master’s from DePaul) with hands-on expertise in Spark, Python/Java, AWS infrastructure (CloudFormation, Lambda, S3, Athena, Kinesis) and large-scale load testing. At Amazon he helped automate service onboarding and engineered a 150K TPS database write test for MADS, and now contributes to Meta’s Lead Ads infrastructure. Comfortable moving between research-grade analytics and production engineering, he has a track record of turning statistical models and streaming data into operational features. Based in Bellevue, WA, he brings a pragmatic, research-informed approach—and a mindset summed up in his GitHub motto: stay humble, stay hungry, stay foolish.
11 years of coding experience
2 years of employment as a software developer
Master's degree Computational Finance/Mathematics, Master's degree Computational Finance/Mathematics at DePaul University
Bachelor's degree Mechatronics Robotics and Automation Engineering, Bachelor's degree Mechatronics Robotics and Automation Engineering at Shanghai University