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collaborating with product managers and domain experts to define business logic boundaries, significantly reducing iteration costs, improving development efficiency, and enhancing code readability and business relevance. Deep Application of Technology Stack: Implemented containerization with Docker in multiple high-load systems, used Redis for data caching, and unified log and event management with Kafka, enhancing system efficiency and reliability. 工作經歷 Chief Technology Officer • MEOWWOOF 2023/8 - Present Responsible for the company's technical strategy planning and execution, including technical architecture design, team building, and product development. Successfully applied DDD to enhance system design clarity

/09 - Present Shopline is a platform that enables user to establish their online presence. As a front-end engineer within the team, I participated in various projects and functionalities in a task-oriented manner： Manage/User Interface In charge of all store-related functionalities, such as product management, event management, and member management. The project has a large-scale architecture, and the front-end interface is developed using Angular.js and React frameworks. Redux Saga is employed to manage data in the React portion, and Axios is used for API integration. Data Dashboard

//www.linkedin.com/mwlite/in/rajan-rajpayle-8bab3822 Work Experience Technical,Marketing Manager • Chaudhary Coaching Class,Akola NovemberApril 2021 Chaudhary Coaching Class, Akola (MH):- Business Development: Lead a team of executives for School programs, Workshops, Campus initiatives, etc. Brand Development: Promotion and events management, Road shows, School programs etc Mentor • MEEEGS,AKOLA AugustApril 2018 A graduate experience in business development, marketing institute and is keen to work in highly motivated & higher-growth-oriented environment. Largest Coaching class in the Vidharbha’s working as mentor in this institution. Assistant Professor • Sanmati

作模式，對自己最大的期望是成為跨領域多元通才！ With over 8 years of experience in editing and writing popular science, arts, and cultural topics both domestically and internationally, as well as 5 years of experience in community management and event planning and execution, and 8 years of experience in full remote work. I possess practical experience in knowledge content, copywriting, community management, brand marketing, and topic operation. I have repeatedly created communities with organic reach, ranging from tens of thousands to over a hundred thousand

會的策劃、聯繫與實際活動現場流程控管 - 參與其他不同產業類別的分享會，觀察與學習活動舉辦的三大要素 ▍Event planning & social media platform management - Formulated marketing events and workshops regarding to Bitcoin and blockchain - Organised social media platforms, created ingenious content and monitored operation status - Collected industry related news and reported to supervisors 學歷 英國倫敦大學政經學院(LSE) Business and Management資格認證

3 persons team Brand communication and promotion Regional Distribution Maintenance Sales target achievement Trade promotion projecting and executing Trade Dialogue Bars & Clubs retail relationship maintenance PG management CR promotion and event executing Outlet promotion planning and executing JulyMarch 2022 Brand Ambassador • Distell Bisquit Cognac promoting Bisquit Cognac educating Bisquit Cognac sales maintenance Bisquit Cognac sales plan projecting Bisquit Cognac tasting event hosting Bisquit Cognac trade dinner hosting Bisquit Cognac trade visiting Bisquit Cognac bartender and bar staff training OctoberJune 2017 Sales Executive • Distell MOT & HORECA Channel development On Trade SWS (DIstriubutor) management On Trade SWS (DIstriubutor) ana...

and operation tasks Kubernetes/golang/Prometheus/minio/airflow/EFK/kafka/argocd/argo-rollout Deploy On-Premise Kubernetes cluster and operation tasks like monitoring, scaling up/down nodes, troubleshooting, and root cause analysis Designed and built ML platform core features, like model management, advanced deployment strategy, event-drive automation workflow De-dependency ML pipelines(MLOps) and leverage GitOps for continuous deployment supported 10+ machine learning services, accumulated 20 million+ API requests since theplatform launched, and 99.9% Monthly Uptime Percentage SLA smart recommendation service Resolving data scientist requirement Kubernetes