You will get to Unlock the Data in Your Private Documents with Custom RAG AI

Damir A.Status: Offline
Damir A.

Let a pro handle the details

Buy Generative AI services from Damir, priced and ready to go.
Damir A.Status: Offline
Damir A.

Let a pro handle the details

Buy Generative AI services from Damir, priced and ready to go.

Project details

Unlock the Data in Your Private Documents with Custom RAG AI

Stop manually searching through hundreds of PDFs. I build secure, enterprise-grade Retrieval-Augmented Generation (RAG) applications that allow you to "chat" directly with your private documents, getting instant, accurately cited answers.

Using a modern tech stack—Next.js, Pinecone Vector DB, Google Gemini, and PostgreSQL—I create private document vaults tailored exactly to your business needs.

Core Capabilities:

Smart Document Ingestion: Automated pipelines that extract, chunk, and embed your data into Pinecone for lightning-fast retrieval.

Multi-Modal AI Vision: Have complex PDFs? I utilize Gemini Vision to accurately describe and index images, charts, and tables so no data is lost.

Conversation Memory & History: Seamlessly ask follow-up questions. The AI remembers the context of the chat while PostgreSQL safely stores your session history.

Zero Hallucinations: Engineered with strict prompts and Hybrid Search so the AI only uses your data to answer.

As a professional AI Evaluator and Full-Stack Developer, I ensure your data remains secure and the AI's logic is flawless. Let’s build your private AI vault today.
AI Algorithms
Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Self-Organizing Map
AI Applications
AI Text-to-Image, Machine Translation, Text Recognition
AI Development Language
Python
AI Tools
Copy.ai, GitHub Copilot, Hugging Face, Jasper AI, Microsoft 365 Copilot, PyTorch, Replit
AI Models
ChatGPT, DALL-E, GPT-3, GPT-4, LLaMA, Midjourney AI, OpenAI Codex
What's included
Service Tiers Starter
$350
Standard
$900
Advanced
$1,500
Delivery Time 5 days 14 days 30 days
Number of Revisions
135
AI Model Integration
Batch Normalization
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Database Integration
Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$70 - $500
Additional Revision
+$100
Multi-Modal PDF Ingestion (+ 4 Days)
+$200
Advanced Chat History Memory (+ 3 Days)
+$150
Damir A.Status: Offline

About Damir

Damir A.Status: Offline
Gen AI | Full Stack Developer | PythoPython & Agent Developer
Essen, Germany - 5:44 pm local time
Bridging the gap between Customer Experience, Business Logic, and Artificial Intelligence.

I am a professional AI Prompt Evaluator and Full-Stack Developer based in Germany, combining enterprise-level AI training experience with over 5 years of background in Technical Support and SaaS Sales. I don't just write code; I build AI solutions that actually understand user intent, drive sales, respect data privacy, and reduce support tickets.

Currently, I work at TELUS Digital, where I evaluate, fine-tune, and optimize Large Language Models (LLMs) to ensure high-quality, safe, and accurate interactions. In my freelance work, I architect and deploy custom AI agents and full-stack web applications for businesses looking to automate their workflows or enhance their customer experience.

Featured Portfolio Projects:

Croatia360 (Premium AI Travel Assistant)
A sophisticated, multilingual Next.js 16 application featuring a custom AI travel assistant powered by the Vercel AI SDK and Google Gemini. It dynamically generates personalized vacation itineraries across 8 languages, handling complex budget and preference constraints while delivering a premium UI.

Hausheld (B2B Workforce & Compliance Platform)
A comprehensive workflow platform built for the German home-help sector, strict on GDPR compliance. Built with a FastAPI/PostgreSQL backend and dual frontends (Next.js PWA for workers, React/Vite for admins). It features GPS-verified check-ins, distance-based AI substitute suggestions using PostGIS, and automated billing exports.

Nexus AI (Enterprise RAG Document Vault)
A secure, multi-modal document retrieval system built with Next.js, Pinecone (Vector DB), and Google Gemini. It allows users to upload complex PDFs (including charts and tables), extracts the data using AI Vision, and provides instant, accurately cited answers via a hybrid-search chat interface with full conversation memory.

What I Can Do For You:

Custom AI Chatbot Development: Building conversational agents for your website using Next.js, Python, OpenAI, or Gemini APIs.

Retrieval-Augmented Generation (RAG): Building secure internal tools that let your team "chat" with your private company documents, PDFs, or databases.

Prompt Engineering & Optimization: Designing complex, fail-safe prompts to ensure your AI behaves exactly as intended, without hallucinations (backed by my daily enterprise QA experience).

Technical Support & Automation: Leveraging my 5+ years in telecom/IT helpdesk to set up intelligent customer support flows or integrate AI into CRM systems (Zendesk, JIRA).

Why Work With Me?
Because of my background in sales management and Tier-2 technical support, I approach AI development from a business perspective. I know what frustrates end-users, what data compliance requires (GDPR), and what drives conversions.

Let’s talk about how we can integrate smart, reliable AI into your next project. Send me a message and let's get started!

Steps for completing your project

After purchasing the project, send requirements so Damir can start the project.

Delivery time starts when Damir receives requirements from you.

Damir works on your project following the steps below.

Revisions may occur after the delivery date.

Ingestion Pipeline & Architecture

I will build the document ingestion logic to extract text, chunk the data appropriately (e.g., 1000 characters with 200 overlap), embed it using AI models, and upsert it into the Pinecone Vector store.

Database & Memory Setup

I will configure PostgreSQL and Prisma to securely store chat sessions and message histories, ensuring the AI retains conversation memory for context-aware follow-up questions.

Review the work, release payment, and leave feedback to Damir.