Data automation and custom workflow solutions using Python, Docker, Kubernetes Karpenter,, Dynamic Workflows Architecture, and AWS EKS. My focus is on creating scalable, cloud-native infrastructure to simplify complex data processing and automation for users, making it easier to design, deploy, and manage workflows efficiently.
Cloud automation, Kubernetes architecture, and open-source projects focused on workflow orchestration and automation. I enjoy working with developers who are pushing boundaries in automation, DevOps, and cloud-native technologies, contributing to the broader tech community through innovative solutions.
The Quantum Frontend portal, a platform where clients design data analytics workflows. We’re building tools to simplify analytics, and I’d love support in development, user experience design, and open-source contributions that enhance client engagement and workflow design capabilities.
Advanced Kubernetes networking and security practices, .NET Core for backend services, and AWS EKS for scalable solutions. I’m constantly exploring ways to integrate these technologies into my projects to improve automation, deployment speed, and reliability in cloud environments.
Kubernetes cluster management, Workflows, cloud infrastructure, or DevOps automation. I’m passionate about helping others navigate these technologies and can offer insights into designing resilient, efficient, and automated workflows in cloud-native environments.
In my free time, I dive into quantum computing out of curiosity, always seeking to automate processes in surprising ways. It’s my way of combining two passions—innovation and efficiency—to stay ahead in the ever-evolving tech landscape.