Ahmad Ferdiansyah Ramadhani's repositories
bangkit-server-main
https://cc-main-server-oislxufxaa-et.a.run.app
chatbot-api
As final project for my Bachelor, i create RAG (Retrieval Augmented Generation) as back-end service which combine Retrieval and Generation to get information from bunch of documents. The Embedding use model from Huggingface and Text Generation from OpenAI
fe-basestation_2023
The Basestation Front-End for IRIS Robosoccer Wheels Competitions in 2023 is a web application that implements microservices with two main servers (ROS and Node.js) and one referee-box server (Node.js). These main servers can switch between each other depending on the configuration that has been set up.
thread-api
submission for expert back-end course on Dicoding. Implement clean code architecture (testable and high scalable) with concept Domain, Application, Infrastructure, and Interface
auth-nodejs
source code about authentication and session using express
basic.langchain
Generative AI for chatbot
collaborator
This is Same as Burpsuite Collaborator | Free | Burpsuite Collaborator Server
express-server-cd
Automation Code Deployment using cloud build on GCP
food-estate
Android App Kotlin based for submission beginner Android on Dicoding
go-everything
learning golang workspace
golang
learning go language
in-out-come-app
Implement CI/CD on Google Kubernetes Engine. Web app to record income and outcome integrate with firebase and socket.io.
langchain-chatbot
Final Project which is creating a chatbot platform at Computer Science ITS Surabaya based on RAG. The inputs are documents and output is chatbot platform. This was integrated back-end X RAG
library-management
Techs: vue + postgree-sql for a purpose to fulfill final project basis data management on Institute Technology Sepuluh Nopember Surabaya
open-music-api
submission for fundamental back-end dicoding course
personal-portofolio
Portofolio web - build with Next.js, Typescript, Tailwind CSS, and Framer-motion
simple-bank
go based simple bank transaction
thread-app
React application web based in order to fulfill a submission of React Expert Course on Dicoding