Document Intelligence Pipeline

Retrieval and extraction across twenty years of unstructured engineering reports, with citations back to the source page.

Client
Placeholder client
My role
Technical Lead
Year
2026
Category
AI Solutions
  • Python
  • LangChain
  • pgvector
  • Redis
  • AWS

Two decades of PDFs, scanned in varying quality, with no consistent structure and no metadata worth the name.

What mattered

Chunking strategy, far more than the choice of embedding model. Reports written as continuous prose needed different handling from tabulated test results, and treating them identically produced answers that were fluent and wrong.

Citations first

Every answer links to the page it came from. Engineers do not trust a system they cannot check, and they are right not to.

Outcome

Searches that used to take an afternoon now return a cited answer in seconds.

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Common questions

What kind of projects does Humza Imran take on?

Selected case studies are on this page. Work is usually applied AI, production software, or both, with a named outcome rather than a slide deck.

How can I work with Humza Imran?

Use the contact form at https://humzaimran.com/contact or email humzaimran505@gmail.com. Describe the problem, the timeline, and whether you need a system built, a team trained, or both.

Get in touch