Hello Kubeflow Community,
My name is Deeksha Mishra, and I am an AI/ML student currently preparing to contribute to open-source projects, particularly through Google Summer of Code (GSoC).
I am very interested in Kubeflow because of its powerful ecosystem for building, deploying, and managing machine learning workflows on Kubernetes. I am currently learning:
• Machine Learning & Deep Learning
• Python and Data Science
• Docker and Kubernetes (Beginner Level)
• MLOps concepts
I would love to start contributing to Kubeflow and learn from the community. I am especially interested in:
• Beginner-friendly issues
• Documentation improvements
• Small bug fixes
• Good first issues for new contributors
Could anyone please guide me on:
• Where to start contributing
• Beginner issues to work on
• Any recommended learning resources
I am excited to learn, collaborate, and contribute to the Kubeflow community.
Thank you for your time and support.
Best regards,
Deeksha Mishra
AI/ML Student