Building 67 Projects ranging from beginner to advanced so anyone can — learn from, build upon, use as a reference, or even copy directly. Gamified Cybersecurity learning 👇

DevOps/CloudOps CLI framework for making work with Terragrunt and performing various cloud operations much easier.

This repository showcases my work from the KPMG Technology Job Simulation by Forage, focusing on Data Analytics and Cloud Engineering. Explore how I tackled real-world business challenges through sales data analysis, regional growth strategies, and AWS architecture design, highlighting my analytical and technical expertise.

Building an Azure AI chatbot using Retrieval-Augmented Generation (RAG) as part of my learning journey into AI and cloud development.

This is a code repo dedicated to following a data engineering bootcamp. As we make progress on the course, I am adding my thoughts, approach and solutions.

Undergrad Project where we explored the posibility on how to use cosine similarity against its limitations and make it work as a recommendation system

ai, machine learning, and robots...

AI-Powered Cloud Cost Guardian

A collection of production-ready AWS Lambda functions for real-world automation, DevOps, and cloud integration tasks.

Real-Time IT Operations Dashboard — latency monitoring, system metrics, security events, and device health visualization using Dash & Python.

A fully orchestrated data engineering pipeline on Google Cloud Platform using Airflow, Spark, Docker, Terraform, BigQuery and Looker Studio.

Transformación de Bookinfo desde monolito a microservicios con Docker, Docker Compose y Kubernetes. Incluye automatización, múltiples versiones de servicios y despliegue cloud-native.

Serverless invoice extraction API using Azure Document Intelligence and Azure Functions. Upload a PDF invoice and receive normalized JSON output including line items, totals, dates, and vendor details.

Production-grade Git workflows commonly used in Cloud & DevOps teams.

AWS Lambda automation to detect and remove orphaned EBS snapshots to reduce AWS storage costs.

⚙️ Optimize AWS AI costs by automating resource management and reducing expenses, ensuring efficient use of cloud services with minimal effort.

A containerized AWS Lambda data ingestion pipeline with automated CI/CD using GitHub and AWS CodeBuild, extracting data from the Calendly API and storing it in Amazon S3

Production-grade multi-cloud FinOps platform for cost analysis, anomaly detection, and governance across AWS, GCP, and Azure.