Learning workflows with clear boundaries
Designed private draft-learning and immutable practice-session workflows. These contribute to personal progress while staying isolated from shared, facilitator, and competitive reporting.
LEARNING PLATFORMS & AI / 04
Skillgora
A learning platform built for people—and the assistants helping them.
The context
A full-stack learning platform for creators, facilitators, and learners, bringing together skillsets, notebooks, practice sessions, assessments, and progress analytics.
My role
I architect and build the platform across backend, frontend, and integrations, with particular attention to learning workflows, AI-assisted authoring, and trustworthy progress data.
What I contributed
AI-assisted authoring and practice
Built workflows for authoring skillsets, question sets, and concept maps, as well as generated practice, feedback, and learner remediation.
Agent-connected learning
Extended the platform with Model Context Protocol (MCP) tools and agent knowledge so assistants can create, validate, and launch structured learning workflows.
Reliable analytics and delivery
Improved platform reliability through analytics safeguards, data migrations, test coverage, and coordinated changes across backend, frontend, and integrations.