You will get a secure, scalable cloud solution optimized for performance
Project details
Looking to build a secure and scalable cloud-based application? You’re in the right place.
I specialize in developing and deploying cloud applications on AWS and Azure, ensuring high performance, security, and scalability. From basic cloud setups to advanced architectures, I create solutions that are reliable and optimized for real-world usage.
Whether you need deployment, cloud integration, or a complete cloud-native application, I will deliver a system tailored to your business needs.
I focus on performance, security, and clean architecture to ensure long-term success.
Let’s build a powerful cloud solution for your business 🚀
I specialize in developing and deploying cloud applications on AWS and Azure, ensuring high performance, security, and scalability. From basic cloud setups to advanced architectures, I create solutions that are reliable and optimized for real-world usage.
Whether you need deployment, cloud integration, or a complete cloud-native application, I will deliver a system tailored to your business needs.
I focus on performance, security, and clean architecture to ensure long-term success.
Let’s build a powerful cloud solution for your business 🚀
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$120
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 2 | 4 | 6 |
Design Customization | - | ||
Content Upload | - | - | |
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $120
Additional Revision
+$20
CI/CD Pipeline Setup
(+ 4 Days)
+$150About Abdul
AI/LLM Engineer | RAG, AI Agents, MCP Servers | Full-Stack Architect
Karachi, Pakistan - 4:26 am local time
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 cloud needs and architecture
Planning
Design cloud infrastructure and deployment strategy