You will get a private AI assistant trained on your business documents
Project details
Are you tired of watching your team waste hours searching through hundreds of internal documents, manuals, and reports — only to find outdated or irrelevant information? I build private AI assistants that let your team ask questions in plain English and get instant, accurate answers sourced directly from your own documents.
Unlike public ChatGPT, your data never leaves your infrastructure. Everything runs on your server or private cloud, fully isolated and secure. I specialize in RAG (Retrieval-Augmented Generation) systems built with Python, LangChain, Django, and React — delivering clean, production-ready code with complete documentation.
Whether you need a lightweight internal search tool or a full enterprise knowledge platform, I have the right solution for any team size and budget. Every project includes full source code, setup instructions, deployment support, and 7 days of post-delivery bug fixes.
Unlike public ChatGPT, your data never leaves your infrastructure. Everything runs on your server or private cloud, fully isolated and secure. I specialize in RAG (Retrieval-Augmented Generation) systems built with Python, LangChain, Django, and React — delivering clean, production-ready code with complete documentation.
Whether you need a lightweight internal search tool or a full enterprise knowledge platform, I have the right solution for any team size and budget. Every project includes full source code, setup instructions, deployment support, and 7 days of post-delivery bug fixes.
AI Algorithms
Feedforward Neural Network, 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, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$499
|
Standard
$1,200
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 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.
Priority 48-hour project start
+$250Frequently asked questions
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VV
Vadim V.
Apr 4, 2026
Python Developer Needed for Dictionary Translation using ChatGPT API
About Jegor
EU AI Act & GDPR Compliant AI Chatbots | Python, FastAPI, RAG, LangCha
Prague, Czech Republic - 8:21 pm local time
The EU AI Act becomes fully enforceable on August 2, 2026 — fines up to
€35M or 7% of global turnover. Every chatbot serving EU users must comply,
and "we just used the OpenAI API" is not a strategy your DPO will sign off on.
I build production RAG chatbots that meet EU requirements out of the box:
GDPR-compliant data handling, EU AI Act Article 50 transparency disclosures,
full audit logs, source citations with confidence scoring, the right to
erasure as a working endpoint (not a policy page), and optional self-hosted
LLMs for complete data sovereignty.
Based in Prague — EU jurisdiction, EU time zone, EU contract law.
5+ years building Python backends and AI integrations. Stack: Python,
FastAPI, Django, PostgreSQL with pgvector, LangChain, OpenAI / Claude /
Mistral, self-hosted Llama and Mistral via Ollama and vLLM, Docker, Redis,
Celery, React for chat widgets.
What I deliver:
— RAG assistants trained on your documents with source citations and
hallucination guardrails
— EU AI Act & GDPR compliance package: pre-filled DPIA, audit logs,
consent flow, data export and erasure endpoints
— Self-hosted LLM deployments for healthcare, finance, legal, and any
special-category personal data
— Multi-channel chatbots: web widget, Slack, Teams, WhatsApp, Telegram,
email auto-responder
— Backend APIs (FastAPI, Django REST) with PostgreSQL, Redis, Celery,
Docker, GitLab CI/CD
How I work:
— Discovery first: I classify your data sensitivity and lock the
architecture before writing code
— Compliance-by-default: every system ships audit-ready, not "compliance
on request"
— Clean, documented, production-grade code. No exotic frameworks. Any
Python developer can maintain it later
— EU-friendly hours and clear async communication
Best fit for: EU SMBs, SaaS, healthcare, fintech, education, consulting
firms, government contractors.
Languages: English, Czech (native), Russian (native).
If you need an AI developer who understands both the LLM side and the
EU regulatory side — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Jegor can start the project.
Delivery time starts when Jegor receives requirements from you.
Jegor works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Planning & Document Analysis
I review your documents, select the right vector database and LLM, and deliver a detailed technical architecture plan for your approval — before writing a single line of code.
Data Ingestion & Embedding Pipeline Build
I build the document parser, chunking strategy, and vector embedding pipeline. All your documents get indexed and are fully ready for accurate semantic search and retrieval.