You will get a RAG AI assistant trained on your company documents
Project details
Many companies jump straight into AI tools without understanding how their business processes actually work. That often leads to expensive experiments that never deliver real value.
I help businesses design practical AI automation systems that solve real workflow problems.
My approach starts with understanding the process first. Then I design and build the AI architecture around it — whether that means an AI assistant, document automation, or an internal knowledge system powered by RAG.
Typical projects include:
• AI assistants and internal knowledge agents
• document and workflow automation
• AI-powered internal tools and MVPs
• process automation across business systems
The goal is always the same: turn messy manual processes into clear, automated systems that actually work.
I help businesses design practical AI automation systems that solve real workflow problems.
My approach starts with understanding the process first. Then I design and build the AI architecture around it — whether that means an AI assistant, document automation, or an internal knowledge system powered by RAG.
Typical projects include:
• AI assistants and internal knowledge agents
• document and workflow automation
• AI-powered internal tools and MVPs
• process automation across business systems
The goal is always the same: turn messy manual processes into clear, automated systems that actually work.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$250
|
Standard
$900
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500
Additional Revision
+$100About Tomas
AI Systems Architect | Automation & AI Agents for Real Business Proces
Vilnius, Lithuania - 1:15 pm local time
Many companies jump straight into AI agents or automation tools without understanding how their workflows actually operate. That often leads to expensive experiments that never deliver real value.
My approach is different.
I start by understanding the process, then design and build the AI and automation architecture around it.
By combining business thinking with hands-on implementation, ideas move quickly from concept → working system.
What I build most often:
• AI assistants and internal knowledge agents (RAG, vector search)
• document and workflow automation (invoices, reports, operations)
• AI-powered internal tools and MVPs
• automation across business tools and data flows
• early-stage AI product prototypes
You can also explore my work through an interactive AI assistant (featured in portfolio).
Tech stack when needed:
Python, Django, FastAPI, React, LangChain, OpenAI / Claude, RAG pipelines, vector databases, Power Apps, Microsoft 365 automation.
Steps for completing your project
After purchasing the project, send requirements so Tomas can start the project.
Delivery time starts when Tomas receives requirements from you.
Tomas works on your project following the steps below.
Revisions may occur after the delivery date.
Process discovery
Understand the business workflow and identify automation opportunities.
Architecture design
Design AI automation or RAG system architecture tailored to the workflow.