AI Document Automation Pipeline (LLM + Python Backend)Bhupathi Murali Krishna
I'll build a pipeline that reads your documents (invoices, contracts, forms, PDFs, emails), extracts the data you need with Claude or OpenAI, and pushes it into your system, with a human review step for anything the model isn't sure about.
What you get
Document intake (upload, email, or API) with OCR for scans
LLM extraction into a fixed schema, with validation, so the output is always clean structured data
Human-in-the-loop review for low-confidence cases (Slack or a simple web screen)
Durable processing with retries, so nothing gets lost when an API fails
Push results into your database, CRM, or spreadsheet
Logs, cost tracking, and a short handover doc
Recent result: a pipeline for a logistics ops team that handles ~200 documents a day, processes 97% automatically, and cut manual work from 4 hours to 20 minutes. Stack: Python, FastAPI, Claude API, Temporal, PostgreSQL.
How it works: a 15-minute call to scope it, a fixed price and timeline, then working software you can test within the first week.
Starting at$1,000
Duration2 weeks
Tags
FastAPI
OpenAI
PostgreSQL
Python
Automations
Backend Engineer
Artificial Intelligence
Service provided by
Bhupathi Murali Krishna Hyderabad, India
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- Followers
AI Document Automation Pipeline (LLM + Python Backend)Bhupathi Murali Krishna
Starting at$1,000
Duration2 weeks
Tags
FastAPI
OpenAI
PostgreSQL
Python
Automations
Backend Engineer
Artificial Intelligence
I'll build a pipeline that reads your documents (invoices, contracts, forms, PDFs, emails), extracts the data you need with Claude or OpenAI, and pushes it into your system, with a human review step for anything the model isn't sure about.
What you get
Document intake (upload, email, or API) with OCR for scans
LLM extraction into a fixed schema, with validation, so the output is always clean structured data
Human-in-the-loop review for low-confidence cases (Slack or a simple web screen)
Durable processing with retries, so nothing gets lost when an API fails
Push results into your database, CRM, or spreadsheet
Logs, cost tracking, and a short handover doc
Recent result: a pipeline for a logistics ops team that handles ~200 documents a day, processes 97% automatically, and cut manual work from 4 hours to 20 minutes. Stack: Python, FastAPI, Claude API, Temporal, PostgreSQL.
How it works: a 15-minute call to scope it, a fixed price and timeline, then working software you can test within the first week.
$1,000