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You will get a secure, optimized, and scalable database solution

Abdul H.Status: Offline
Abdul H. Abdul H.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Abdul, priced and ready to go.
Abdul H.Status: Offline
Abdul H. Abdul H.
Preview image

Let a pro handle the details

Buy Web Application Programming services from Abdul, priced and ready to go.

Project details

Looking to design or optimize your database for better performance and scalability?

I specialize in database design, optimization, and administration for modern applications. I create structured, efficient, and secure database systems that ensure fast queries, data integrity, and long-term scalability.

Whether you need a new database setup, performance tuning, or a complete database solution, I will deliver a reliable and optimized system tailored to your needs.

Let’s build a database that powers your application efficiently 🚀
Programming Languages
JavaScript, Python, Java
Coding Expertise
Performance Optimization, Security, Design
What's included
Service Tiers Starter
$100
Standard
$250
Advanced
$600
Delivery Time 5 days 10 days 20 days
Number of Revisions
235
Number of Pages
123
Design Customization
-
Content Upload
-
-
Responsive Design
-
-
-
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$30 - $100
Additional Revision
+$20
Extra Table / Feature (+ 2 Days)
+$40
Database Migration (+ 2 Days)
+$150
Abdul H.Status: Offline

About Abdul

Abdul H.Status: Offline
AI/LLM Engineer | RAG, AI Agents, MCP Servers | Full-Stack Architect
Karachi, Pakistan - 7:05 am local time
I build production AI/LLM systems — RAG pipelines, multi-agent workflows, and MCP integrations that ship reliably and keep token costs predictable. 11+ years of full-stack architecture underneath means the AI runs on infrastructure that scales, not on a demo notebook.

Recent work:
• Stateful multi-agent workflows in LangGraph with MCP-based tool integration and hybrid RAG (pgvector + reranking) — production teams query historical manufacturing data in plain English
• LLM evals, tracing, and prompt caching with LangFuse that cut token spend while holding answer quality
• AI-powered anomaly detection and automated reporting on live production-monitoring systems (Python, FastAPI, GPT-4, Llama)

I'm strong on the parts demos skip: evals and observability (LangSmith/LangFuse), fallbacks, rate limiting, and FinOps cost monitoring — so what we launch keeps working at real traffic.

Stack: Python (FastAPI), TypeScript/Node.js (NestJS), React/Next.js, LangChain, LlamaIndex, LangGraph, pgvector, Pinecone, PostgreSQL, Kubernetes, Terraform, AWS/Azure/DigitalOcean.

How I work: clear scope before code, funded milestones, updates twice a week, and honest calls on what an LLM can and can't do for your use case.

Adding AI to an existing product, building an AI-first SaaS, or need agents that plug into your tools via MCP? Message me with what you're trying to build — I'll reply with an honest take and a plan.

Steps for completing your project

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

Delivery time starts when Abdul receives requirements from you.

Abdul works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Discussion

Understand your database needs

Design

Create database schema and structure

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