I am a software engineer with extensive experience in data engineering, machine learning, and backend development.
I am passionate about building robust distributed systems, designing scalable data pipelines, and contributing to the open-source community. My work combines a deep understanding of software development with a strong focus on data and systems engineering.
I am an active contributor to the Kubeflow ecosystem, including:
- Kubeflow Katib: A scalable hyperparameter tuning system for machine learning workflows.
- Kubeflow: A comprehensive machine learning platform built on Kubernetes.
- Kubeflow Training Operator: A Kubernetes custom controller for training machine learning models at scale.
Feel free to explore my repositories or connect to discuss anything related to software engineering, data, and distributed systems!