You will get a Custom Python App Integrated with LLM and RAG Pipeline
Project details
Bring intelligent automation to your software ecosystem with a production-ready, high-performance integration. I specialize in building robust Python applications powered by cutting-edge Generative AI, tailored LLMs, and highly accurate RAG (Retrieval-Augmented Generation) pipelines.
Whether you want to implement local LLMs (like LLaMA or Qwen via Ollama) to protect data privacy and eliminate cloud API expenses, or design a fully autonomous multi-agent worker pipeline to monitor, score, and summarize real-time incoming data streams, I deliver secure, scalable, and beautifully documented code.
Every tier guarantees clean architecture using frameworks like Flask, Django, or NestJS, seamless vector database integration, comprehensive error handling, and rigid optimization to eliminate AI hallucinations. Let’s collaborate to build an optimized AI core built for your precise business logic.
Whether you want to implement local LLMs (like LLaMA or Qwen via Ollama) to protect data privacy and eliminate cloud API expenses, or design a fully autonomous multi-agent worker pipeline to monitor, score, and summarize real-time incoming data streams, I deliver secure, scalable, and beautifully documented code.
Every tier guarantees clean architecture using frameworks like Flask, Django, or NestJS, seamless vector database integration, comprehensive error handling, and rigid optimization to eliminate AI hallucinations. Let’s collaborate to build an optimized AI core built for your precise business logic.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Image Processing, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$180
|
Standard
$500
|
Advanced
$1,300
|
|---|---|---|---|
| Delivery Time | 3 days | 12 days | 25 days |
Number of Revisions | 2 | 4 | 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
+$20 - $400Frequently asked questions
About Pedram
Senior Python Developer | AI Automation & FinTech Backend Architect
Istanbul, Turkey - 11:44 am local time
I don't just write code — I design systems. From banking ATM infrastructure serving thousands of daily users, to a brokerage platform handling 50,000+ active accounts, to a fully automated AI news intelligence platform running 24/7 without editorial staff — every project I take on is built to scale, stay reliable, and run in production.
── WHAT I BUILD ──
▸ AI Automation Pipelines: End-to-end systems that ingest, process, score, and publish content autonomously. Built TrendiaTR — an AI-powered Turkish news aggregator using ChromaDB semantic clustering, Gemini API summarization, and a custom trend scoring engine.
▸ FinTech Platforms: Architected VestHub — an automated investment platform with AI-driven risk management, real-time dashboards, and crypto payment integration. Previously led development of a full brokerage ERP, automated KYC with government API integration, and a credit management system.
▸ Telegram Bots & Content Automation: Custom bots for automated content publishing, admin approval workflows, multi-source aggregation, and real-time alerts — configured for any language or niche.
▸ Backend Architecture: Python, Flask, Django, PostgreSQL, Redis, Docker, Microservices. Comfortable taking projects from whiteboard to production deployment.
── TECHNICAL STACK ──
Python · Flask · Django · PostgreSQL · Redis · Docker · ChromaDB · Gemini API · Ollama · OpenAI · Celery · Linux · C++ · C#
── DOMAIN EXPERTISE ──
FinTech · Algorithmic Trading Systems · Banking Automation · AI/LLM Integration · Data Pipelines · Telegram Automation · Vector Search
M.Sc. Information Technology — Iran University of Science and Technology (IUST)
Based in Istanbul, Turkey. Available for both project-based and long-term engagements.
Steps for completing your project
After purchasing the project, send requirements so Pedram can start the project.
Delivery time starts when Pedram receives requirements from you.
Pedram works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis & Architecture Design
We will start with a kick-off alignment to review your workflow requirements, data formats, and tech preferences. I will then design the system architecture and outline the integration strategy.
Core Development & Pipeline Engineering
I will develop the Python backend, build the RAG pipeline or dynamic prompts, and integrate the LLM/Vector DB infrastructure. The focus here is on clean code, memory efficiency, and accurate outputs.