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AI automation platform

Document extraction and classification with LLM APIs, human review, and cost and rate-limit controls. Average handling time fell by 60%+ and the workflow spread across departments.

Shipped · 2017 – 2025 · Senior backend engineer

Case study

  1. 01

    The challenge

    Staff retyped documents by hand. A model could draft the fields, but a wrong guess could not be written straight into the system of record.

  2. 02

    The approach

    LLM APIs extract and classify the document. A person reviews the result before it is saved. Cost and rate limits wrap the model calls. Laravel owns the workflow, React the review screen, Kubernetes the runtime.

  3. 03

    The outcome

    Average handling time fell by 60%+, and the same review workflow spread across departments.

What shipped

  • Document extraction
  • Classification
  • Human review before save
  • Cost and rate-limit controls

Need something similar?

Tell me about the system. I reply from malikshafiq7088@gmail.com.

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