Work case study
Accessibility Automation
Batch workflows supporting document accessibility audits and remediation at Stony Brook University.
Python · Accessibility · Document workflows
- 500+ documents
- 25 min → under 10 min
01 / Problem
The constraint
Reduce repetitive document-remediation work while retaining the manual review needed for accessibility quality.
02 / Structure
Architecture at a glance
- Course documents
- Python batch workflows
- Manual review + remediation
03 / Implementation
Engineering decisions
- Support audits and remediation for Section 508 and WCAG 2.1 AA requirements.
- Use Python batch workflows for repeatable document processing.
- Combine automation with manual review rather than claiming automation proves compliance.
04 / Evidence
Measurement context
Based on Rishabh's supplied employment history and work metrics. Employer documents and internal tooling are not published here.
05 / Trade-offs
Limits worth stating
- Automated checks do not replace human accessibility review.
- Private course material and internal systems are not exposed as portfolio artifacts.