Sales Request Automation

Professional work · Collaborative project

Turn emails and attachments into structured information.

Transferring information from unstructured emails and attachments into business applications takes manual effort.

My contribution

My contribution

How it works

Implemented structured LLM extraction from emails and attachments, with validation and downstream integrations, within a collaborative team.

How it works

Document processing and structured LLM extraction turn incoming emails and attachments into validated information for downstream business integrations.

PythonLLM extractionEmail processingValidationAzure
LLM extraction / AutomationSchematic · Simplified view
  1. Inbound requestsIncoming emails and attachments
  2. Document processingExtract relevant message and file content
  3. LLM extractionProduce structured information
  4. ValidationValidate the extracted output
  5. Business workflowPass validated information to downstream integrations

Engineering decisions

Structured output

Extract structured information from email and attachment content, then validate it before passing it to downstream integrations.

Operational responsibility

Supported application deployment, troubleshooting and maintenance as part of the team.

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