You will get LLM / RAG Strategy for Enterprise Scaling


Project details
I don't just "wrap" the OpenAI API; I build production-grade AI systems that actually work at scale. As a Kaggle Gold Medalist (Top 12 global finish in Deepfake Detection) and former CTO, I specialize in architecting data pipelines and GenAI solutions that drive revenue, not just hype.
What I Build:
✅ RAG Systems: Retrieval-Augmented Generation pipelines using LangChain, Pinecone, and Vector Databases that reduce hallucinations and improve retrieval efficiency by 35%.
✅ Scalable Data Infrastructure: I have architected pipelines handling multiple terabytes daily and 200M+ monthly requests.
✅ Cost-Optimized AI: Expertise in serverless pipelines (AWS Glue/Lambda) and open-source models (HuggingFace) to reduce operational costs by up to 25%.
What I Build:
✅ RAG Systems: Retrieval-Augmented Generation pipelines using LangChain, Pinecone, and Vector Databases that reduce hallucinations and improve retrieval efficiency by 35%.
✅ Scalable Data Infrastructure: I have architected pipelines handling multiple terabytes daily and 200M+ monthly requests.
✅ Cost-Optimized AI: Expertise in serverless pipelines (AWS Glue/Lambda) and open-source models (HuggingFace) to reduce operational costs by up to 25%.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI-Generated Code, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$200
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 1 day | 4 days | 7 days |
Number of Revisions | 0 | 1 | 2 |
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 | - |
About Atsamaz
Full Stack Engineer (React/Node) | Technical Co-Founder for Startups
Istanbul, Turkey - 1:33 pm local time
I help founders take products from Idea to MVP to Scale.
The Value I Bring:
✅ Speed to Market: I recently launched a DTC brand, growing it to $20k/mo revenue by combining rapid development with data-driven user feedback.
✅ End-to-End Ownership: I handle everything: Frontend (React/Next.js), Backend (Node/Python), Database, and Deployment. You focus on the business; I handle the tech.
✅ User-Centric Development: I implement feedback loops and analytics (GA4/Mixpanel) early, which has historically reduced customer churn by 25% for my clients.
Tech Stack:
⚙️ Frontend: React, Redux, TypeScript.
⚙️ Backend: Node.js, Express, Python.
⚙️ Integrations: Stripe, OpenAI, Social APIs and many others.
If you are looking for a senior developer who thinks like a product owner, invite me to your job.
Steps for completing your project
After purchasing the project, send requirements so Atsamaz can start the project.
Delivery time starts when Atsamaz receives requirements from you.
Atsamaz works on your project following the steps below.
Revisions may occur after the delivery date.
Scope discussion
To set clear goals, requirements and deliverables during
Plan creation & approval
Creating a detailed plan on achieving the results we've agreed on with client