Work

Problem: Large product surface area, inconsistent structure, and release changes that were hard to track.

• Approach: Established consistent information architecture, publishing patterns, and “definition of done.”
• System: Templates + standards, review gates, and release-aligned workflows.
• Outcome: Improved consistency and navigability, fewer “where is this documented?” escalations.

Problem: Customers struggled to understand which changes mattered and how upgrades would affect them.

• Approach: Standardized change taxonomy and editorial rules for new/changed features content.
• System: Repeatable intake from engineering, consistent formatting, and validation of shipped behavior.
• Outcome: Cleaner upgrade narratives and easier internal alignment across teams.

Problem: Manual processes caused errors and rework; visibility into status and auditability were limited.

• Approach: Built a database-first model, then layered APEX UX around validations and safe transitions.
• System: Views/APIs as contracts, validations close to data, user-friendly UI defaults.
• Outcome: Reduced errors and created a predictable workflow that scales with usage.

Problem: High-volume, consistent PDFs contained structured content that needed to become queryable data.

• Approach: Defined stable parsing rules, exported normalized CSV, then ingested into database tables.
• System: Python parsing + repeatable ETL steps + integrity checks.
• Outcome: Repeatable ingestion pipeline that turns static content into usable datasets.