1）The screen recording and snapshot function to all the compute nodes was integrated in k8s cluster through daemonSet with vnc rfb protocal. 2）Upgrade the virtualization aspect log to k8s console log. 3）Mail bait function development in honeypot system. Skills: K8s and Virtualization

1） Through self-encapsulated kafka redis combined message priority middleware to make sure video, games, comment, post, space data and so on various data of going through machine audit, transcoding, be protocalized operations so that to be pushed and published stably, fluently, instantly and correctly. 2） Responsible for Zeebe 1.0.3 workflow engine environment set-up, deploy and upgrade. Apply Zeebe microservice orchestration distribute system in content delivery service by system design, bpmn models design, business workflow function split, Apis development make business more logical, scalable, visible and fault-tolerant.3） Refactor image service in go language, got 3x concurrency and 40% CPU utilization improvement compared with python per pod with the same resource.4） Integrate real-time aho-crasick multiple sensitive words matching automation algorithm with gin framework, take advantage of Cpython-3 low-level api which combines high concurency language go with python perfectly to tokenize non-comma separation language.5） Pack language, label, black border, face, watermark, erotic, violence machine audit models independently, improve the development, deploy, scale, replace, change speed dominantly.6） Govern service by adding auth identification, prometheus metrics monitor, metis log etc.7） Design and develop transcoding schedule system adapts to different platform with priority based on schedule rule, supports h264, h265, av1, m3u8 transcode.Skills: priority queue, kafka, redis, zeebe microservice orchestration, go gin, ffmpeg transcode schedule and image process service, aho-crasick, service governance, tornado, sanic

1) Develop web platform back-end django SDK including car, security staff and driver management; Upgrade mysql engine to display geometry accident statistics with heatmaps. Extract the driving record video to be shown on the platform. 2) Develop big screen back-end in Shanghai Didi vehicle command center to monitor real-time traffic, certain car driving situation and operations from drivers. Ensure the stable transmission of back-end data displayed smoothly on the large screen in the command center. Skills: Django, ddmq, hevc, autonomous driving infra development.

2018.12-2019.11 Baidu Fengchao Video Engineering Team2017.12-2018.11 Baidu Local Ads system(Nuomi) Data Team

2017.04-2017.12 Docomo MiddleWare project development 2016.02-2017.04 OAM Beijing buildbot dev&test team2016.03-2017.02 LR16.2 Release Stream Guardian2014.11- 2016.01 Transport and Security Target CI creator2014.02- 2016.03 OAM Transport and Security product develop