You will get Build Custom RAG Pipeline with OpenAI/Llama-3 for Your Data
Project details
The core technical capabilities of this service include building precision RAG pipelines with LangChain and LlamaIndex, as well as developing autonomous agents using CrewAI and LangGraph to automate complex business logic. I specialize in vector database architecture using tools like Pinecone and Weaviate, and I can integrate your system with OpenAI, Anthropic, or local Llama 3 models to meet specific data privacy requirements. This allows for seamless integration into your existing ecosystem, connecting your AI directly to Slack, Discord, or custom web dashboards.
My proven process begins with a thorough data audit and architecture phase where I clean and "chunk" your raw data for optimal performance. I then move into core engine development, building the retrieval logic and prompt engineering "guardrails". Once the backend is robust, I handle UI/UX integration to deliver a clean interface and finish with full enterprise-grade deployment on AWS, GCP, or Azure. This comprehensive workflow typically reduces manual support volume by 40–60% and allows your team to access internal insights in seconds rather than hours.
My proven process begins with a thorough data audit and architecture phase where I clean and "chunk" your raw data for optimal performance. I then move into core engine development, building the retrieval logic and prompt engineering "guardrails". Once the backend is robust, I handle UI/UX integration to deliver a clean interface and finish with full enterprise-grade deployment on AWS, GCP, or Azure. This comprehensive workflow typically reduces manual support volume by 40–60% and allows your team to access internal insights in seconds rather than hours.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 3 | 7 | Unlimited |
Number of Pages | 2 | 5 | 10 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $500About Alina
Full Stack & AI Engineer | SaaS Architect | From Idea to Scalable Prod
Gilgit, Pakistan - 10:41 pm local time
Instead of hiring a designer, frontend developer, backend engineer, and AI specialist separately, you work with one expert who delivers everything end-to-end.
From concept → UI/UX → development → AI integration → deployment
Zero handoffs. Faster execution. Better results.
Most products don’t fail because of lack of effort — they fail because of poor early decisions.
UI/UX is designed without understanding system logic
AI is added later and feels disconnected
Systems are built fast but require expensive rewrites
I eliminate these problems by building AI-first architectures from day one.
As a Full Stack Engineer + AI Engineer, I design systems where:
✔ UX is built around AI behavior (latency, uncertainty, feedback)
✔ Backend supports real-time data, inference, and scalability
✔ AI features feel natural — not bolted on
This approach saves time, reduces cost, and prevents rework.
My Approach: Engineering Meets Intelligence:
I don’t just “integrate AI” — I build products that are designed for AI from the ground up.
That means:
Smarter system architecture
Better user experiences for AI-driven apps
Faster iterations and fewer bugs
Production-ready solutions — not prototypes
What I Can Do For You (End-to-End):
UI/UX Design:
Figma wireframes & high-fidelity UI
AI-focused UX (chat interfaces, dashboards, assistants)
Clean, modern, conversion-driven designs
User flows optimized for real-world usage
Full Stack Development:
Frontend: React.js, Next.js
Backend: Node.js, FastAPI, Express
REST & GraphQL APIs
Authentication & role-based systems
Database design (PostgreSQL, MongoDB)
Clean, scalable architecture
AI & Machine Learning Integration
LLM integrations (OpenAI, Anthropic, etc.)
Retrieval-Augmented Generation (RAG) systems
Vector databases (Pinecone, FAISS, Weaviate)
Chatbots, AI assistants, automation tools
Custom ML & deep learning models
Prompt engineering & optimization
DevOps & Deployment:
AWS, Docker, Kubernetes
CI/CD pipelines (GitHub Actions, GitLab CI)
Serverless architecture (Lambda, API Gateway)
Performance optimization
Monitoring & logging
Who I Work With
I specialize in helping:
✔ Startups building MVPs quickly
✔ Founders launching AI SaaS products
✔ Businesses automating workflows with AI
✔ Teams needing scalable full-stack systems
Why Clients Choose Me
✔ End-to-end ownership — no miscommunication
✔ AI-first system design (future-proof architecture)
✔ Production-ready code — not just demos
✔ Strong problem-solving mindset
✔ Clear communication & fast delivery
My Promise:
I don’t just build features.
I build products that scale, perform, and generate real value.
Let’s Build Something Powerful
Send me:
Your idea (even rough is fine)
Any reference apps or competitors
Your timeline & goals
I’ll help you turn it into a real, scalable AI-powered product.
Steps for completing your project
After purchasing the project, send requirements so Alina can start the project.
Delivery time starts when Alina receives requirements from you.
Alina works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Architecture
I analyze your source data and design the vector database schema to ensure maximum retrieval accuracy.
Core Engine Development
Building the RAG pipeline using LangChain/LlamaIndex and integrating the chosen LLM with custom prompts.