fmind
@fmind
Public Skills
MLOps Industrialization
by fmind
Guide to transform prototypes into robust, distributable Python packages using the src layout, hybrid paradigm, and strict configuration management.
MLOps Collaboration
by fmind
Guide to prepare MLOps projects for sharing, collaboration, and community engagement.
MLOps Automation
by fmind
Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.
MLOps Initialization
by fmind
Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.
MLOps Observability
by fmind
Guide to implement full stack observability including reproducibility, lineage, monitoring, alerting, and explainability.
MLOps Prototyping
by fmind
Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.
MLOps Validation
by fmind
Guide to implement rigorous validation layers including static analysis, automated testing, structured logging, and security scanning.