Python

AI chatbot for secure, conversational analysis of AWS infrastructure

Example scripts for different environments to build and manage Versa Networks products

Terraform module to manage a file upload infrastructure using S3 presigned URLs and Lambda.

Découverte de ce monde (Data / ML) via un projet perso. Basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ..., du ML et du DL. Une couche de visualisation via PowerBI.

Atlas Architect: Your AI Co-pilot for Secure Cloud Infrastructure

This project is an AI-powered DevSecOps agent that lives within GitLab. It proactively analyzes Infrastructure-as-Code (IaC) files, specifically Terraform, to automatically visualize, secure, and optimize a developer's Google Cloud architecture before it's ever deployed.

When a developer submits a Merge Request with Terraform changes, a CI/CD pipeline triggers the agent to post a detailed analysis back as a comment. This provides instant visibility and governance, helping teams build better, safer cloud infrastructure, faster.

Key Features:

AI-Powered Visualization: Generates architecture diagrams from Terraform code using Google's Vertex AI. Security & Cost Analysis: Identifies security vulnerabilities and cost inefficiencies based on best practices. Intelligent Remediation: Automatically suggests code changes to fix identified issues. Vector-Powered Knowledge Base: Uses a MongoDB Atlas Vector Search index of official Google Cloud documentation to provide highly relevant, context-aware explanations for its recommendations.

Core Technologies:

Platform: GitLab CI/CD, Google Cloud Platform (GCP), MongoDB Atlas Services: Google Cloud Run, Google Cloud Build, Google Vertex AI, MongoDB Atlas Vector Search Frameworks & Languages: Python, Flask, Gunicorn

Real-time market data processing and analytics demonstration

Building a Real-World AWS Data Analytics Pipeline: From E-commerce Orders to Machine Learning Recommendations

Cloud-native data processing service: Spotify API integration for playlist analysis and genre processing, demonstrating production-ready cloud deployment with AWS ECS, CI/CD, and infrastructure as code.

AWS Lambda functions for SOAR (Security Orchestration, Automation and Response): PDF URL extraction and phishing image analysis for threat intelligence workflows.

AWS cloud engineering project: Comprehensive demonstration of DynamoDB expertise, showcasing advanced database design, optimization strategies, and cloud-native application development.

GCP Dataflow Pipeline

Stock Control Supervisors- Google Cloud Platform- monitoring dashboard samples

Project to implement a WhatsApp chat with an AI assistant. Try it on WhatsApp.

Terraform playground demonstrating the deployment of a simple CRUD app on AWS, featuring EC2 with cloud-init, VPC, IAM, S3, DynamoDB, and CloudFront.

Codebase for https://shumphreys.com

Write Terraform providers in Python

실시간 스터디 관리 플랫폼

A Sphinx extension for documenting Terraform modules. | Documentation