Step 1
Audit call
Half an hour on your document types, volumes, and how the work gets done today. You'll leave knowing where automation is worth it.
Freelance AI EngineerTop Rated Plus on Upwork100% Job Success
I help businesses transform messy files into clean, auditable data
I build agentic document pipelines that extract, validate, and score data from PDFs, scans, and emails, so your team stops keying it in by hand.
Clients call me when their automation breaks on edge cases or a new layout. I fix the extraction and add the review checks that make the output trustworthy: confidence scores, LLM validation, citation tracking, human-in-the-loop.
Detect · validate · score
How I work
How a document pipeline gets built
We start with an audit call. You only fund the work that earns its keep.
Step 2
Build the prototype
Extraction running on your real documents. You see the output before we spend more.
Step 3
Business logic & guardrails
Rules, confidence scores, and human review for the weird cases, so bad data doesn't slip through quietly.
Step 4
Deployment
Live in your stack: APIs, tables, CRM, or ERP, with monitoring from day one.
Step 5
Ongoing maintenance
Fixes when something breaks. Help spotting the next document worth automating.
Case study
One pipeline. The documents. The weekly cost. What shipped.
Water Consultancy · Lab Reports
Automated report extraction for a water consultancy
- Problem
- Engineers copying PDF fields into spreadsheets every week: slow, easy to get wrong, nothing to audit later.
- Result
- Pipeline in production. Every report lands as structured data. Still running today.
Thanks to Subhajit's work, we're saving countless hours we used to spend manually entering results into our own template.
Still processing documents by hand?
Book a free 30-minute audit call. Let's figure out how much time you'd get back by automating the work.
