AI-powered multi-agent system for automated proposal generation using context-aware retrieval and persona-based writing.

Shows how to connect GCP with GitHub actions and use Terraform to deploy cloud infra.

실시간 AI 기반 한-영 상호 통역 Discord 봇 (GCP 인프라 자동화 및 CI/CD) / Real-time AI KR–EN Interpreter Bot (GCP Infra + CI/CD)

Terraform module to configure GitHub Actions as an IAM OIDC identity provider in GCP

Adds new column(s) to a specific table across all datasets in a bigquery project

IAC CI/CD Deployment project using jenkins, sonaroube and docker with on Google cloud Platform

Automated GCP security auditing tool with IAM, Firewall, and Storage analysis

Build and deploy a Python application developed with Flask into GKE to communicate with a Postgresql DB deployed on GKE.

Terraform Cloud Dynamic Credentials module as an IAM OIDC identity provider in GCP

ZeroOps is a no-code, AI-powered DevOps platform that lets users visually design infrastructure and automatically generates optimized, production-grade Terraform for Google Cloud. It unifies design, deployment, optimization, migration, and governance into a single intelligent DevOps workflow.

A tool that audits GCP environments hosting AI/ML workloads for security misconfigurations.

Integrations with Microsoft apps

Fetch data weekly using ETL approach from tommorow.io weather forecast data.

Setup a Google Cloud Platform VM. It's got everything you need to get a web server up and running.

The repository is about google cloud HMAC automatic rotation using GKE cronjob

GCP automation via GitLab

KoinX Backend Internship Assignment into detailed tasks, challenges, and approaches to help you craft a production-grade solution with clean code, scalable architecture, and best practices in mind.

A GKE Config Connector setup that manages Google Cloud resources declaratively from within a Kubernetes cluster.

Production-grade real-time fraud detection system for fintech transactions. Built with FastAPI, containerized via Docker, deployed on GKE with autoscaling, monitored using OpenTelemetry, and secured against data poisoning attacks. Includes CI/CD pipelines, MLflow experiment tracking, DVC data versioning, and fairness/explainability audits.

An MLOps implementation to build and deploy an ML-model assessing the efficiency of a manufacturing machine using jenkins (CI), argoCD (CD), gitOps with webHooks for automatic push of code and GCP virtual machine (VM) as remote server.