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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

  1. Course documents
  2. Python batch workflows
  3. Manual review + remediation

03 / Implementation

Engineering decisions

  1. Support audits and remediation for Section 508 and WCAG 2.1 AA requirements.
  2. Use Python batch workflows for repeatable document processing.
  3. 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.