Effective learning starts with rigorous design. Every engagement begins with a thorough needs analysis — identifying performance gaps, audience profiles, and measurable success criteria before a single slide is built.

Working within ADDIE, SAM, or agile frameworks depending on project scope, deliverables include learning objectives mapped to business outcomes, detailed storyboards, SME review cycles, and post-launch evaluation plans aligned to Kirkpatrick levels.

High-production eLearning built in Articulate Storyline 360, with full SCORM 2004 or xAPI output for seamless LMS deployment. Every course is developed to WCAG 2.1 AA accessibility standards with keyboard navigation, closed caption support, and screen reader compatibility.

Custom interactions, branching scenarios, knowledge checks, and simulations are built from scratch — not repurposed from stock templates. Motion graphics and animated sequences are produced in Cinema 4D for courses requiring premium visual production.

Purpose-built development for L&D and training operations teams who need tools that commercial software doesn't cover. From automated document generation pipelines to custom LMS integrations, deliverables are production-grade, documented, and maintainable.

Specializations include pptxgenjs and docx-js generators for scalable course material production, Python automation scripts for content processing workflows, and JavaScript development for Storyline 360 custom interactions and web-based training tools.

End-to-end translation and localization for eLearning courses built in Articulate Storyline 360. Working directly from source .story files, translated courses preserve all interactions, branching logic, scoring, and SCORM packaging — not just the text layer.

Specializing in regulated industry content where terminology accuracy is critical. Translation memory management ensures consistency across multi-module programs, and final QA reviews are conducted in-context within the published course environment.

Structured consulting for enterprise teams deploying AI tools — particularly Anthropic Claude and Claude Code. Engagements cover governance framework development, acceptable use policy design, pilot program architecture, and 90-day adoption roadmaps tailored to the organization's risk tolerance and technical maturity.

L&D-specific AI implementation is a core specialization: identifying which workflows to augment, building internal AI literacy programs, and embedding safe-use frameworks that scale from individual contributors to department-wide rollouts.