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Liquidmind.ai

Product Intern, Jun to Aug 2025

← V Naman Mehta

An AI pipeline for international trade paperwork.

During my internship I worked on a system that reads shipment documents and pulls out the fields a trade team needs. OCR, Azure OpenAI and rule-based checks do the extraction.

  1. Ingestion
  2. AI extraction
  3. Validation
  4. Report generation

How it runs

Four containerised services

The system runs as four containerised services, each with one job.

Python, Flask, FastAPI, Docker, Azure Functions, Container Apps, Blob Storage

Ingestion
Takes the shipment documents into the pipeline.
AI extraction
Pulls the fields out of the documents, using OCR and Azure OpenAI.
Validation
Checks the extracted fields against rules.
Report generation
Turns the results into a report.

Results

Accuracy, volume and turnaround

The numbers from the internship. They are the ones on my resume.

Extraction accuracy
95 to 98%.
Volume
500+ shipment document packages a day.
Turnaround
Down from two to three days to under five minutes.

More

Other work, or get in touch

Next: the Secure Browser at Talview.

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