You will get a web application or tools with Next js/React js
Project details
I specialize in React and Next.js to deliver high responsive, fast and SEO friendly web application that fits your needs. With my approach I take an insider’s view on modern front end development, integrating a focus on user experience, performance and maintainability. The clean, optimized codebase paired with a delightful, intuitive user interface ensures you have a smooth, easy to use experience. Every project is created to your unique requirements, and scaled and integrated without a hitch with other services.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$20
|
Standard
$35
|
Advanced
$40
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 21 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Pages | 1 | 3 | 5 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20About Hamza
Healthcare AI Engineer | Full-Stack, LLMs, RAG & HIPAA-Aware Systems
Faisalabad, Pakistan - 4:04 pm local time
I specialize in blending modern full-stack development with Generative AI to build healthcare products that are accurate, compliant, and built to scale — from RAG-powered clinical assistants to data pipelines that make sense of messy patient and quality-measure data.
🏥 Healthcare Domain Experience
I work daily with real healthcare data , patient records, HEDIS quality measures, and large-scale clinical datasets , building AI systems with PHI/HIPAA-aware design principles. I understand the realities of healthcare data: privacy constraints, messy joins, inconsistent coding, and the need for outputs clinicians and stakeholders can actually trust.
🤖 AI & Generative AI Engineering
I build Retrieval-Augmented Generation (RAG) pipelines, AI agents, and document Q&A assistants using LLMs (OpenAI, Hugging Face) and frameworks like LangChain. I integrate vector databases (FAISS, Chroma), embeddings, and semantic search to deliver chatbots and assistants that are accurate, context-aware, and capable of citing their sources , critical for high-stakes healthcare use cases.
💻 Full-Stack Development
I design responsive, performance-optimized applications using React, Next.js, Django, FastAPI, and Node.js. I build secure REST APIs, work with relational and non-relational databases (PostgreSQL, MongoDB, ClickHouse), and deploy on AWS with Docker and CI/CD pipelines for reliable, scalable delivery.
✨ What I Deliver
Healthcare AI assistants with memory, document search, and source citation
RAG pipelines and semantic search over clinical and knowledge-base data
End-to-end web platforms with clean UIs, optimized backends, and secure deployment
Automation workflows that cut manual effort in support, search, and reporting
Cloud-ready solutions built on AWS, Docker, and CI/CD
Clean, well-documented code and clear, collaborative communication
Whether you need a HIPAA-aware AI assistant, a clinical data pipeline, or a full-stack healthcare platform with integrated AI, I can help you turn your idea into a real, production-ready solution.
My goal isn't just to build applications ; it's to build systems that scale and evolve safely with your organization's needs
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
After gathering all requirements then would start developing