You will get AI document processing app to extract and validate data with LLM
Top Rated
Top Rated
Project details
Turns messy PDFs/scans (invoices, statements, forms) into clean, structured, validated data. Image-conversion → LLM extraction → confidence scoring → human-review queue for low-confidence fields. RAG layer lets users ask questions across the whole document set.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AI, Image Processing, Image Recognition, Natural Language Generation, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAIAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMAWhat's included
| Service Tiers |
Starter
$400
|
Standard
$1,200
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 4 days | 14 days | 21 days |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | - | |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
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HA
Howard A.
Jul 7, 2026
Test engineer for end to end automated testing of entire SaaS Application (with some manual testing)
Indu has worked for us on a full-time basis for ~7 years and I have nothing but great things to say about her. She has been dedicated, hard-working and super diligent on all the automated testing we have thrown her way. She worked hand in hand with the development team and customer support team and our software was all the better for it. The team had a wonderful relationship with her; she is friendly, supportive, inquisitive, experienced, knowledgeable and what everyone would want in a contractor. Unfortunately, we have transferred our customer base to a third party company and we have had to terminate her contract (and all others) with us. I would not hesitate one second to re-contract with Indu should the opportunity arise again. I wish her all the best, and we will miss her:(
HA
Hadi A.
Apr 8, 2026
Fix issues - uipath automation
WB
Wolfgang B.
Feb 9, 2026
AI Automation for Vitelis
HA
Hadi A.
Aug 5, 2024
UiPath Studio X Developer for Automating Data Extraction and Email Drafting from Arabic Platform
Top work
PS
Phil S.
Apr 20, 2023
Automation Help
About Indumathy
AI Automation & AI App Developer | RAG, LLM Agents, Make/n8n, APIs
100%
Job Success
Chennai, India - 10:15 pm local time
Top Rated Plus · 100% Job Success · 7,000+ hours · $100K+ earned.
Most of my clients already use CRMs, ERPs, spreadsheets, or support tools but still rely on people to move data, read documents, draft replies, and chase follow-ups. That's where I come in: I turn those manual, repetitive tasks into AI-powered systems that are accurate, monitored, and cost-controlled.
What I build
• AI applications - document extraction (OCR + GPT-4o/Claude), per-field confidence scoring, human-in-the-loop review
• RAG pipelines - vector search (pgvector / HNSW), embeddings, and knowledge bases grounded in your data
• AI agents & MCP tools - custom agents and copilots for ops, finance, and support teams
• Workflow automation - Make & n8n, multi-step, error-handled, and monitored
• Enterprise API integrations - ERP/CRM/finance systems (Sage Intacct, HubSpot, SharePoint), REST, webhooks, SQL
Recent work & results
• AI invoice-processing app - PDF → GPT-4o extraction + RAG over 50,000+ historical documents, auto-coding invoices to the right accounts with confidence scoring → eliminated hours of manual AP coding, with a full audit trail.
• AP payments → ERP suite - 30+ orchestrated Make scenarios syncing payments, bank feeds, and reconciliation into Sage Intacct + SQL across multiple entities → a near-hands-off finance back office.
• AI content & monitoring engine - n8n + LLMs drafting on-brand content and intelligence across 7+ brands, synced to Notion/Slack → hours of manual work turned into a reviewable AI pipeline.
• Custom AI agents & MCP tooling - agentic tools that connect LLMs to live data sources for non-technical teams.
Why teams keep rehiring me?
I run automations like software - Git-backed versions, error alerting, credential monitoring, and clear documentation for handover. I'll also tell you honestly what's worth automating and what isn't.
Tools I work with
AI/LLMs: OpenAI, Claude, LangChain, RAG, AI Agents, MCP
Automation: Make, n8n, Power Automate, Zapier
Data/Integration: REST APIs, Webhooks, PostgreSQL, pgvector, SQL, Python
Platforms: HubSpot, Airtable, Notion, Slack, Google Workspace, SharePoint/Office 365
Let's talk if you want automation that actually works, measurable business impact and someone who can own it end-to-end. Message me with what you're trying to automate. I'll give you a clear, honest recommendation.
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