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

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

rajesharigala/placementapp:v1-amd64 ; Execution Link

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

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

Real-time stock market analytics pipeline with live visualization dashboard. Built with Python and GCP, featuring automated data processing and interactive Streamlit analytics.

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

🏗️ A centralized repository for reusable custom Checkov policies, metadata-driven service-to-scan mappings, Terraform module detection logic, pass/fail test cases, and GitHub Actions automation. It enables consistent, scalable, and organization-wide IaC governance across Terraform repositories and cloud services.

Infrastructure as Code (IaC) Bash automation suite for provisioning hardened, highly-available web servers on Google Cloud Platform (GCP).

Cloud-native AI platform for precision agriculture: IoT ingestion, RAG, deterministic irrigation logic and Gemini tool-calling agent on GCP.

Integrations with Microsoft apps

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

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.