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RyanOS (RyanOS)

 

 


As a backend developer, I excel in designing robust architectures that empower applications to perform seamlessly and scale efficiently. With expertise in microservices, containerization, and caching systems, I have driven significant performance improvements and ensured system reliability across various projects.

●​ Architected a microservices-based backend with Docker containerization for independent service deployment, enhancing system modularity and reducing downtime risks. Integrated Redis as a caching layer, improving data retrieval speeds by 50% and optimizing user experience.
● Built a scalable backend system using NestJS and MongoDB with replica sets, ensuring high data availability and consistency while supporting dynamic product catalog growth.
●​ Developed a backend in Go with JWT-based authentication and RBAC, streamlining operations and ensuring secure access control.
●​ Designed and implemented a clean architecture structure, ensuring maintainable and scalable codebases. Conducted unit testing to minimize bugs, resulting in higher-quality releases and reduced production errors.

MySQL PostgreSQL NodeJS Nginx Golang

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User Name: RyanOS
Account Type: Personal Account
Date Registered: 10/02/2025 13:29:36 WIB
Last Seen: 10/02/2025 13:43:46 WIB
Provinsi: Jawa Barat
Kabupaten: Kab. Tasikmalaya
Website: https://ryanoktaviansaputra.vercel.app/
Online Hours: 0.23
Projects Won: 0
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Current Projects: 0

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2024: Restaurant Management is an application built using Go, with various features for managing a restaurant, such as storing menu data, transactions, recipes, inventory, and even calculating how many servings can be prepared based on the available ingredients in the inventory. Additionally, for customers, it also allows for making reservations well in advance.

2024: This SosmedApp application has functional features, such as making posts, and giving likes and comments, apart from that, users can also connect with other users with the realtime chat feature.

2025: Super Farmer application aims to improve the welfare of farmers, with many features such as land management, monitoring market prices, and estimating commodity prices when harvest arrives. This application was built with a microservice approach with a clean architecture, the technology used is go, python, docker to containerize each service, rabbitmq as a connector for each service, redis for cache and postgresql to store all data.

 

 

 

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