Release Management - Cadences, Trains, and Versioning
Release cadences, release trains, and semantic versioning automation for software and AI/ML systems.
Sdlc
Shift-Left Testing for ML Systems
Moving testing earlier in the development lifecycle for ML projects: TDD for pipelines, contract-first APIs, static analysis, and data …
Software Development Lifecycle (SDLC)
The structured process of planning, creating, testing, and deploying software systems through defined phases.
Software Quality Assurance for AI/ML Projects
Quality planning, metrics, and gates adapted for AI and ML projects where outputs are probabilistic and data quality is a first-class …
Software Requirements Engineering for AI Systems
Elicitation, analysis, and specification techniques adapted for AI and ML projects, where requirements are probabilistic and data-dependent.