You will get a custom RAG-based chatbot or an interactive knowledge base using your data
Project details
I build custom RAG-based AI assistants and knowledge tools that actually work on your real data.
Whether you’re a founder, dev, or ops lead, I’ll help you turn a folder of documents into a modular AI system - complete with vector DB, retrieval logic, and clean source code.
You’ll get architecture tips, clear next steps, and a result that’s built like real software - not just a chatbot toy.
I’ve been building software and backend systems for 10 years. Let’s ship something useful.
Whether you’re a founder, dev, or ops lead, I’ll help you turn a folder of documents into a modular AI system - complete with vector DB, retrieval logic, and clean source code.
You’ll get architecture tips, clear next steps, and a result that’s built like real software - not just a chatbot toy.
I’ve been building software and backend systems for 10 years. Let’s ship something useful.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AIOps, Anomaly Detection, Conversational AI, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Gradio, Hugging Face, PyTorch, Replit, Streamlit, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, Midjourney AI, Naive Bayes Classifier, Stable DiffusionWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$8,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 30 days |
Number of Revisions | 2 | 2 | 4 |
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
+$300 - $3,000
Additional Revision
+$500
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About Ivan
Senior Blockchain Developer | Technical Writer
100%
Job Success
Vienna, Austria - 9:50 pm local time
🔹 What I Do Best:
• Software Development – Building and optimizing backend systems, APIs, and blockchain applications using Python, Solidity, and JavaScript/TypeScript.
• Product Management & Strategy – Defining product roadmaps, managing backlogs, and aligning engineering teams to ship impactful features.
• Technical Program Management – Leading multi-team development efforts, coordinating SDK & API integrations, and optimizing engineering workflows.
• Data-Driven Decision Making – Conducting on-chain analytics, financial risk modeling, and user behavior analysis to improve product performance.
🚀 Notable Work:
• Managed risk parameter frameworks and on-chain research for DeFi protocols.
• Led multi-team SDK & API integrations across 13+ programming languages.
• Developed an investigative analytics platform for cryptocurrencies at Bitfury.
• Built and launched an MVP of a national digital currency with a gasless UX.
I thrive in fast-moving environments, working with cross-functional teams to deliver scalable, secure, and user-centric products.
Let’s connect and build something great! 🚀
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze your goals & data
I’ll review your documents, website or Notion space and clarify the use case you’re aiming for. We’ll align on how structured the output should be and whether extra tools (agents, filters) are needed.
Build and configure the pipeline
I’ll implement your RAG setup with parsing logic, embeddings, vector database config (e.g., pgVector, SpacetimeDB, Supabase, Chroma, Weaviate), and integration with a language model (OpenAI, Anthropic, etc.).