oracle-samples/oci-data-science-ai-samples
Mar 2025 – Mar 2025
1 Month active
Languages Used
HCLMarkdownPython
Technical Skills
CI/CDData ScienceInfrastructure as CodeMLOpsMachine LearningOCI
minovak
PROFILE
Minovak
Miroslav Novak developed comprehensive machine learning application examples for the oracle-samples/oci-data-science-ai-samples repository, focusing on accelerating deployment and onboarding for Oracle Cloud Infrastructure (OCI) ML workloads. He designed reusable project structures and Terraform-based infrastructure as code patterns, enabling reproducible and streamlined ML deployments. By integrating Python for application logic and HCL for infrastructure configuration, Miroslav ensured that users could package, deploy, and manage ML use cases efficiently. He also authored detailed CLI usage guidelines, supporting both ML Application CLI and OCI CLI workflows. The work demonstrated depth in MLOps, CI/CD, and infrastructure automation, addressing practical challenges in cloud ML operations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
7,813
Activity Months1
Your Network
670 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for oracle-samples/oci-data-science-ai-samples: Delivered OCI ML Application comprehensive examples with packaging, Terraform configurations, and CLI usage guidelines. Established reusable infrastructure patterns and sample project structures to accelerate ML deployment on OCI, improve reproducibility, and streamline onboarding for OCI ML workloads.
1 Commits • 1 Features
Mar 1, 2025March 2025 performance summary for oracle-samples/oci-data-science-ai-samples: Delivered OCI ML Application comprehensive examples with packaging, Terraform configurations, and CLI usage guidelines. Established reusable infrastructure patterns and sample project structures to accelerate ML deployment on OCI, improve reproducibility, and streamline onboarding for OCI ML workloads.
March 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HCLMarkdownPython
Technical Skills
CI/CDData ScienceInfrastructure as CodeMLOpsMachine LearningOCIPythonTerraform
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