You will get AI Document Processing Automation
Top Rated
Project details
You get an AI document processing system that can read files, extract important data, classify content, and send the results into your database, app, CRM, or internal workflow. This is useful for companies dealing with contracts, invoices, forms, reports, government files, legal docs, support tickets, or messy internal documents.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Deeplearning4j, Google AutoML, Keras, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included $3,500
These options are included with the project scope.
$3,500
- Delivery Time 5 days
Frequently asked questions
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DS
David S.
Jul 24, 2026
Multi-agent platform
Ignas was a pleasure to work with. He quickly got to the important questions, and always provided advice with good logic. We look forward to working with him again.
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Philip N.
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Hila F.
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About Ignas
AI Agent Development Expert | RAG, Python, LangChain, LLM AI Engineer
100%
Job Success
Rio de Janeiro, Brazil - 7:41 pm local time
I help companies design, build, and deploy AI Agent Development, RAG pipelines, LLM apps, AI automation systems, internal AI tools, and production-ready AI software using Python, LangGraph, LangChain, LlamaIndex, FastAPI, Rust, TypeScript, OpenAI, Claude, Gemini, vector databases, and cloud infrastructure.
What I do best:
1. AI Agent Development
2. RAG pipelines and retrieval systems
3. LLM app development
4. AI internal tools
5. AI document processing
6. Knowledge base and chatbot systems
7. API development and AI integrations
8. Vector database setup and optimization
9. AI workflow automation
10. AI audits, scoping, and technical planning
My strongest work is around AI agents and RAG.
For AI agents, I build systems that can reason, use tools, call APIs, work with memory, and complete multi-step tasks without needing constant human input.
For RAG, I build retrieval systems that go beyond basic vector search. This includes document ingestion, hybrid search, reranking, embeddings, layout-aware parsing, evaluation, and grounded answers from your own company data.
I am an expert at:
Python, Rust, TypeScript, FastAPI, React, Next.js, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI, Claude, Gemini, Hugging Face, Milvus, Pinecone, PGVector, Chroma, Weaviate, PostgreSQL, Docker, Azure, AWS, RunPod, Vast AI, Linux, N8N, and CI/CD pipelines.
The clients I work best with are B2B companies, enterprise teams, software companies, AI startups, and businesses with complex documents, workflows, internal data, tickets, knowledge bases, or operations that need to become easier to search, automate, and manage.
If you need AI Agent Development, RAG, LLM app development, Python backend engineering, or production AI infrastructure, send me a message.
I wanna hear your idea now, how can I help?
Steps for completing your project
After purchasing the project, send requirements so Ignas can start the project.
Delivery time starts when Ignas receives requirements from you.
Ignas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Workflow Scoping
We start with a short call to understand your documents, current process, and where the data needs to land. I map out document types, extraction rules, and success metrics, then send a written scope before any build starts.
Pipeline Build and Integration
I build the processing system based on the agreed scope: ingestion, OCR, AI extraction, classification, and connections to your database, CRM, or app. You get progress updates and a working version to test on real documents.