Guhao Fan
Software Engineer at Amazon
Lynnwood, Washington, United States
Summary
👤
Senior🎓
Top SchoolGuhao Fan is a pragmatic software engineer with 10 years of experience building cloud-native systems and automation across finance, aviation, and consumer services, currently contributing at Amazon from Lynnwood, WA. He blends backend Python expertise with AWS, Linux, Docker, and CI/CD tooling (Jenkins, conda) to deliver reliable trading, notification, and deployment pipelines. Past roles include designing a full-stack automation framework with Python/Flask and JS, developing AI-driven defect analysis, and migrating complex trading systems between Linux distributions while resolving numpy/pandas compatibility issues. Comfortable across languages (C++, JavaScript, Kotlin) and infrastructure, he has repeatedly bridged product, ops, and developer workflows to reduce operational friction. A subtle throughline in his career is crafting tooling that automates releases and observability, reflecting a strong bias for developer productivity and resilient systems.
10 years of coding experience
6 years of employment as a software developer
Master's Degree, Electrical and Electronics Engineering, 3.9, Master's Degree, Electrical and Electronics Engineering, 3.9 at Illinois Institute of TechnologyBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Beijing University of Technology
Github Skills (59)
monitoring10
service-mesh10
cron10
transaction10
skywalking10
observability10
ebpf10
zabbix10
distributed-tracing10
telegraf10
dapper10
apm10
system-monitoring10
consistency10
prometheus10
Programming languages (4)
Github contributions (5)
brains-platform/spring-boot-starter-influxdb
Jul 2019 - Jan 2020
spring-boot-starter-influxdb
Contributions:16 commits, 1 PR, 14 pushes in 5 months
spring-bootinfluxdbspring
brains-platform/skywalking
May 2020 - Jul 2020
APM, Application Performance Monitoring System
Contributions:46 pushes, 7 branches, 2 tags in 2 months
performance-monitoringapmobservabilityperformancesystem-monitoring
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