You will get a modern and secure health management system.

Let a pro handle the details

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

Let a pro handle the details

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

Project details

It's innovative approach, solving a specific problem in a novel way, or by incorporating distinctive features that set it apart from others in its domain. Uniqueness through its user experience design, innovative features, seamless integration of technologies, personalized content delivery, and responsiveness across various devices. Additionally, a unique value proposition or a creative approach to solving a specific problem can distinguish a web project from others.
Programming Languages
PHP, HTML & CSS, Python
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security

What's included $1,800

These options are included with the project scope.

$1,800
  • Delivery Time 35 days
  • Number of Revisions 3
    • Design Customization
    • Content Upload
    • Responsive Design
    • Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$500
Nuruddin M.Status: Offline

About Nuruddin

Nuruddin M.Status: Offline
AI Engineer | AI Agents, LLMs, RAG & Automation
Abuja, Nigeria - 11:03 am local time
I build production-ready AI agents, LLM/RAG systems, and business automations that connect models to real data, APIs, databases, and business workflows—not just chatbots that look good in a demo.

I’m a Senior AI / Full-Stack Engineer specializing in Python, LLM applications, agentic workflows, RAG, automation, and scalable backend systems.

I can help you build or improve:

AI Agents & Agentic Systems — tool-calling agents, multi-agent workflows, routing, state management, memory, guardrails, and business-system integrations

LLM Applications — OpenAI and other hosted LLM integrations, structured outputs, prompt engineering, function/tool calling, context management, and production API integration

RAG Systems — document ingestion, chunking, embeddings, vector search, retrieval pipelines, reranking/relevance improvements, metadata filtering, and grounded generation

AI Automation — n8n workflows, API orchestration, CRM/e-commerce integrations, notifications, business-process automation, and human-in-the-loop workflows

Voice AI — conversational voice architectures connecting speech-to-text, LLM reasoning, tools/CRM/scheduling systems, and text-to-speech

AI Backend Engineering — Python, FastAPI, Django, PostgreSQL, REST APIs, asynchronous processing, WebSockets, and production integrations

AI Reliability & Optimization — diagnosing hallucinations, retrieval failures, tool-selection problems, context issues, latency/cost bottlenecks, data drift, and unreliable workflows

Cloud & Production Systems — Docker, AWS, databases, APIs, deployment, monitoring, and scalable backend architecture

What I bring

I approach AI projects as software systems, not isolated prompts.

That means thinking about the complete path from user request → orchestration → retrieval → model → tools → business logic → database/API → response, including failure handling, observability, security, latency, cost, and maintainability.

I've worked on AI-powered assistants, RAG systems, recommendation/personalization systems, document intelligence, customer-support automation, voice-agent architectures, workflow automation, and real-time/full-stack platforms.

My engineering background also means I can take an AI feature beyond the prototype and build the surrounding APIs, database layer, integrations, background processing, and production infrastructure required to make it useful.

Core technologies

AI / LLM: LLM APIs, OpenAI, LangChain, LangGraph, RAG, AI Agents, Tool Calling, Embeddings, Vector Search, Prompt Engineering

Automation: n8n, API Automation, Workflow Orchestration, CRM/E-commerce Integrations, Webhooks

Backend: Python, Django, FastAPI, REST APIs, PostgreSQL, SQL, WebSockets

Infrastructure: Docker, AWS, Cloud APIs, asynchronous/background processing, distributed systems

Typical projects I can take from idea to production

Build an AI agent that can actually use your APIs, database, CRM, or internal tools

Turn an existing chatbot into a reliable RAG/agentic system

Build a RAG pipeline over company documents and knowledge bases

Automate repetitive business workflows with AI + n8n + APIs

Integrate an LLM into an existing SaaS/product/backend

Build customer-support or operations automation

Design a voice AI workflow connected to business systems

Diagnose and improve an unreliable AI/RAG application

Build the backend and infrastructure around an AI product

If you already have an AI prototype, I can help turn it into something reliable, maintainable, and production-ready.

If you're starting from scratch, I can help with the architecture and implementation end-to-end.

Steps for completing your project

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

Delivery time starts when Nuruddin receives requirements from you.

Nuruddin works on your project following the steps below.

Revisions may occur after the delivery date.

Defining requirements

System design

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