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About | ringsaturn
Work Experience I have been working with Beijing ColorfulClouds Technology Co.,Ltd as a Backend Engineer from July 2019 to March 2025. Here, I am responsible for: Upgrading our Weather Core API from Python 2.7 to Python 3.7 in 2019. Refactoring the push notification system for the ColorfulClouds app. This involved using a Python Producer with Celery workers to write push tasks as Protocol Buffers to a Redis list, which were consumed by a Golang worker. This approach enabled us to send about 3,000 notifications per second. Recoding high throughput internal Flask & FastAPI services using Go+Gin to offer high speed geo computing and weather station data APIs. 彩云天气地理查询优化: 最近的 N 个点 彩云天气地理查询优化(2): 行政区划查询 History of package tzf 构建高性能高程 API Revamping many years of legacy code to fit into modern architecture under Kubernetes. We managed to achieve cross region traffic migration without any downtime in Q1 2023. Developing an animation system for weather layer, demo, which has proven hugely beneficial for marketing purposes. Creating a system to archive and query historical weather station data. The system stores data in multiple Parquet files and utilizes a few Celery workers to perform asynchronous read and processing tasks. Mentoring multiple backend engineers, helping them get up to speed with existing business, and participating in multiple rounds of recruitment. Writing extensive internal documentation to improve cross-functional communication efficiency. Technologies I used:
Bing
About | ringsaturn
Work Experience I have been working with Beijing ColorfulClouds Technology Co.,Ltd as a Backend Engineer from July 2019 to March 2025. Here, I am responsible for: Upgrading our Weather Core API from Python 2.7 to Python 3.7 in 2019. Refactoring the push notification system for the ColorfulClouds app. This involved using a Python Producer with Celery workers to write push tasks as Protocol Buffers to a Redis list, which were consumed by a Golang worker. This approach enabled us to send about 3,000 notifications per second. Recoding high throughput internal Flask & FastAPI services using Go+Gin to offer high speed geo computing and weather station data APIs. 彩云天气地理查询优化: 最近的 N 个点 彩云天气地理查询优化(2): 行政区划查询 History of package tzf 构建高性能高程 API Revamping many years of legacy code to fit into modern architecture under Kubernetes. We managed to achieve cross region traffic migration without any downtime in Q1 2023. Developing an animation system for weather layer, demo, which has proven hugely beneficial for marketing purposes. Creating a system to archive and query historical weather station data. The system stores data in multiple Parquet files and utilizes a few Celery workers to perform asynchronous read and processing tasks. Mentoring multiple backend engineers, helping them get up to speed with existing business, and participating in multiple rounds of recruitment. Writing extensive internal documentation to improve cross-functional communication efficiency. Technologies I used:
DuckDuckGo

About | ringsaturn
Work Experience I have been working with Beijing ColorfulClouds Technology Co.,Ltd as a Backend Engineer from July 2019 to March 2025. Here, I am responsible for: Upgrading our Weather Core API from Python 2.7 to Python 3.7 in 2019. Refactoring the push notification system for the ColorfulClouds app. This involved using a Python Producer with Celery workers to write push tasks as Protocol Buffers to a Redis list, which were consumed by a Golang worker. This approach enabled us to send about 3,000 notifications per second. Recoding high throughput internal Flask & FastAPI services using Go+Gin to offer high speed geo computing and weather station data APIs. 彩云天气地理查询优化: 最近的 N 个点 彩云天气地理查询优化(2): 行政区划查询 History of package tzf 构建高性能高程 API Revamping many years of legacy code to fit into modern architecture under Kubernetes. We managed to achieve cross region traffic migration without any downtime in Q1 2023. Developing an animation system for weather layer, demo, which has proven hugely beneficial for marketing purposes. Creating a system to archive and query historical weather station data. The system stores data in multiple Parquet files and utilizes a few Celery workers to perform asynchronous read and processing tasks. Mentoring multiple backend engineers, helping them get up to speed with existing business, and participating in multiple rounds of recruitment. Writing extensive internal documentation to improve cross-functional communication efficiency. Technologies I used:
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