Unidata Science Gateway on the NSF Jetstream2 Cloud

High-Performance server for NATS.io, the cloud and edge native messaging system.

With the help of this repository you can evaluate my professional level. Everything I know about Data Engineering is stored here.

Enable dynamic and seamless Kubernetes multi-cluster topologies

Pulumi - Infrastructure as Code in any programming language 🚀

Machine-readable .txt blocklist of IP addresses derived via lexical analysis of cloud virtual machine hostnames listed in the Inversion DNSBL Blocklists, updated every hour.

Godpeny Github Page :)

This repository demonstrates a scalable, secure, and cost-effective cloud architecture for a modern web application using AWS services and DevOps practices. The project features a highly available architecture with Docker containerization, managed databases, Infrastructure as Code (IaC) with Terraform, and comprehensive monitoring and logging.

A Rust-based, lightweight unikernel.

OpenAI Assistant chat with Firebase

[Go] Fast and Distributed Actor framework using protocol buffers as message for Golang

Test project for firebase-openai-chat

Numerous SDK and CLI. Use the SDK for integrating your Python apps with Numerous so you can share them with users and use the features of the Numerous platform.

Experimental support for Kotlin language in Pulumi

An Amazon Web Services (AWS) Pulumi resource package, providing multi-language access to AWS

Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration

open source, cloud-native, graph-based asset inventory

Cloud-Barista Multi-Cloud Infra Management Framework

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

MLOps | Machine Learning Operations Specialization from Duke University : acquiring critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow.