You will get AI System Audit & Technical Roadmap
Top Rated
Project details
You get a clear technical audit of where AI can actually help your business or product. I will review your workflow, data, tools, documents, and goals, then give you a practical roadmap for what to build first, what to skip, what stack to use, and what it may take to move from idea to production.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Chainer, Google AutoML, Keras, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, PyTorch, Sonnet, TensorFlow, TheanoAI Development Language
PythonWhat's included $1,500
These options are included with the project scope.
$1,500
- Delivery Time 3 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.
KG
Kelley G.
Jul 17, 2026
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Philip N.
May 8, 2026
30 minute consultation
HF
Hila F.
May 1, 2026
AI Automation Engineer Needed for Claude Code Integration
Thank you, Ignas!
GH
Gabriella H.
Nov 17, 2025
API Service with FastAPI
About Ignas
AI Agent Development Expert | RAG, Python, LangChain, LLM AI Engineer
100%
Job Success
Rio de Janeiro, Brazil - 6:05 am 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 & Business Review
We start with a call to understand your workflow, tools, data, and goals. I review what you have, where AI could realistically help, and what's blocking progress, so the audit is grounded in your actual context.
Analysis & Roadmap Build
I analyze your stack, documents, and use cases, then map out what to build first, what to skip, which tools fit, and what production readiness looks like. You get a written roadmap with priorities, scope, and rough effort.