Portfolio Proof
How we build real AI systems & product infrastructure.
These case studies show how we solve complex document workflows, AI knowledge systems, and SaaS rebuilds with production-minded execution.
Document intelligence pipeline that turned 50K PDFs into structured data
Replaced manual PDF review with an OCR + extraction + validation pipeline. Engagement shipped in 18 days with a human-in-the-loop review queue and structured outputs feeding downstream systems.
- Documents processed
- 50K+
- Manual work removed
- 82%
- From kickoff to production
- 18d
Documents processed
Manual work removed
From kickoff to production
AI knowledge platform that turned 8 years of internal docs into an answer engine
Designed and built a retrieval system on top of internal SOPs, runbooks, and Slack archives so support and operations teams could get correct answers without crawling Confluence.
- Of docs indexed
- 8 yrs
- Faster answers
- 63%
- Idea to production
- 4 wks
Of docs indexed
Faster answers
Idea to production
Multi-tenant SaaS rebuild that took a fragile MVP to production
Rebuilt a working but brittle e-commerce platform that had outgrown its first version. New architecture handles multi-tenancy, structured catalog data, and a deployment pipeline that ships every day.
- Rebuild to production
- 6 wks
- Faster page loads
- 3.4×
- Tenant data leaks
- 0
Rebuild to production
Faster page loads
Tenant data leaks
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