You will get No-Code & Low-Code Apps, Python Automation & AI Chatbots
Top Rated
Top Rated
Project details
Every project is unique. Let's start with a quick discussion on Upwork Chat to clarify your requirements, timeline, and either a fixed price or estimated hours.
As a system architect, I build scalable, high-performance web applications using MERN Stack, Python, and AI LLM-powered solutions. From custom web apps and chatbot platforms to intelligent automation, I deliver robust solutions that boost ROI by up to 40%.
Services Offered:
System architect approach: clean, scalable foundations designed to grow with your business
Custom Web Apps & Chatbot Development: fast, optimized chatbot interfaces and dashboards
Python Development: secure, high-performance backends and APIs in Python
AI LLM & Automation: AI LLM integrations, predictive analytics, and chatbot-driven workflow automation
Backend & APIs: reliable Python services with strong system architect principles
API Integration & Performance Optimization: AI LLM and chatbot systems integrated with speed and stability
With a system architect mindset, Python depth, and hands-on AI LLM experience, I turn complex ideas into dependable products.
Let's discuss your project, send me a message to get started.
As a system architect, I build scalable, high-performance web applications using MERN Stack, Python, and AI LLM-powered solutions. From custom web apps and chatbot platforms to intelligent automation, I deliver robust solutions that boost ROI by up to 40%.
Services Offered:
System architect approach: clean, scalable foundations designed to grow with your business
Custom Web Apps & Chatbot Development: fast, optimized chatbot interfaces and dashboards
Python Development: secure, high-performance backends and APIs in Python
AI LLM & Automation: AI LLM integrations, predictive analytics, and chatbot-driven workflow automation
Backend & APIs: reliable Python services with strong system architect principles
API Integration & Performance Optimization: AI LLM and chatbot systems integrated with speed and stability
With a system architect mindset, Python depth, and hands-on AI LLM experience, I turn complex ideas into dependable products.
Let's discuss your project, send me a message to get started.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, PSD to HTML, DesignWhat's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 2 |
Number of Pages | 5 | 10 | 25 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code | - |
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TD
Tammo D.
Mar 31, 2026
Setup of an n8n pipeline for generating infrastructure operators (Germany)
Usama is highly professional and has a very strong understanding of n8n. Communication was prompt and focused, with clear and precise answers to all questions. The results delivered were very helpful for our use case.
Even when our responses were delayed due to urgent matters on our side, Usama remained structured, goal-oriented, and professional throughout the project. Overall, a very good collaboration. I would definitely work with him again.
Even when our responses were delayed due to urgent matters on our side, Usama remained structured, goal-oriented, and professional throughout the project. Overall, a very good collaboration. I would definitely work with him again.
MI
Mariia I.
Mar 3, 2026
AI Automation Engineer for SaaS AI Solutions (LLM + RAG)
Ghufran is an excellent AI Automation Engineer. He delivered high-quality work and made a valuable contribution to our SaaS AI solutions.
His English and communication skills are outstanding, which made the collaboration smooth and efficient.
I highly recommend him to anyone looking for a skilled and reliable AI automation specialist.
His English and communication skills are outstanding, which made the collaboration smooth and efficient.
I highly recommend him to anyone looking for a skilled and reliable AI automation specialist.
JS
John S.
Feb 24, 2026
Python Developer for GenAI Chatbot
Ghufran did an excellent job auditing our GenAI chatbot. He carefully reviewed the architecture, prompt logic, and API integrations, and provided clear, structured feedback with actionable recommendations.
What stood out the most was his ability to quickly understand an existing codebase, identify performance and scalability risks, and explain complex technical issues in a simple, practical way. His suggestions were not only theoretical but also implementation-ready, which made it easy for our team to move forward.
Communication was fast, clear, and proactive throughout the project. He delivered the work on time and demonstrated strong expertise in Python and GenAI systems.
Highly recommend Ghufran to anyone looking for a reliable Python developer for AI/LLM projects, audits, or system optimization.
What stood out the most was his ability to quickly understand an existing codebase, identify performance and scalability risks, and explain complex technical issues in a simple, practical way. His suggestions were not only theoretical but also implementation-ready, which made it easy for our team to move forward.
Communication was fast, clear, and proactive throughout the project. He delivered the work on time and demonstrated strong expertise in Python and GenAI systems.
Highly recommend Ghufran to anyone looking for a reliable Python developer for AI/LLM projects, audits, or system optimization.
CH
Charlie H.
Oct 6, 2025
Senior Full-Stack (Next.js + AI Pipelines) to build Posting/DM Engines
Great to work with Usama
AA
Abir A.
Jan 31, 2024
React Native & AWS
About Ghufran
Python | Chatbot | AI Engineer | System Architect | AI LLM
100%
Job Success
Lahore, Pakistan - 8:46 am local time
Top Rated AI Chatbot Developer and AI Engineer on Upwork · 50+ AI Chatbot systems in Python · 10+ years software engineering · 100% Job Success · $100K+ earned across healthcare, finance, SaaS, and real estate.
The principle behind every build: a chatbot that isn't grounded in your knowledge base is just a science project. So as an AI Engineer and System Architect, I ground each chatbot in your actual documents and databases with Python, and I tune the Agentic RAG layer in Python until the AI LLM answers from your data, not from guesswork. Deep AI LLM tuning is where an AI Engineer earns the result.
What I build:
Agentic RAG chatbots context-aware chatbot answers drawn from your own documents over Pinecone, Qdrant, or Chroma, on Claude, GPT-4, or Llama 3, wired together in Python. Sources cited, no hallucinations, every AI LLM answer grounded in your data by an AI Engineer.
AI LLM-powered workflows Python with LangChain and LlamaIndex that read documents, extract insights, and automate multi-step work end to end, with AI LLM retries and exception handling in Python. Engineered by an AI Engineer and architected by a System Architect, with the chatbot layer sitting on a scalable Python core.
GenAI & NLP apps a text, voice, and image chatbot with full conversation state and multi-platform deployment, shipped end to end in Python by a System Architect.
Healthcare & telehealth HIPAA-compliant Agentic RAG chatbot pipelines with strict data grounding and audit trails, built in Python by an AI Engineer and System Architect with real healthcare experience.
Rapid MVPs a working chatbot in weeks, not months, delivered as clean, documented Python your team can own as a maintainable Python asset. That is how an AI Engineer builds a Python chatbot to hand off.
Results:
support costs cut 35-55% with an Agentic RAG chatbot · 100+ hours/month recovered through AI LLM automation in Python · up to 60% revenue lift from smarter chatbot engagement.
These are the numbers an AI Engineer and System Architect are hired to move.
How I work:
Discovery, then Agentic RAG and AI LLM architecture in Python, then a fast MVP, then scaling for accuracy, speed, and multi-platform deployment. Because I work across every major AI LLM and open-source AI LLM provider through Python, I'll tell you honestly whether Claude, GPT-4, or open-source fits your accuracy, cost, and privacy needs before you commit. What separates a real System Architect from an API-wrapper is designing each chatbot for real data, real edge cases, and real production load in Python, the standard an AI Engineer is held to across every AI LLM I deploy.
Scalability and infrastructure: a chatbot that's fast in a demo and slow under load is a failure, so as a System Architect I design the data flow, caching, and failover in Python that keep your chatbot fast at scale. An AI Engineer plans the Python system before a line of code ships, and a System Architect owns the trade-offs between cost, latency, and accuracy. That architecture-first discipline is what a System Architect brings that an integrator cannot.
Tech stack: Python · Claude · GPT-4 · Llama 3 · LangChain · LlamaIndex · AutoGPT · Autogen · Pinecone · Qdrant · Chroma · Node.js · Django · TensorFlow · Docker · AWS · Azure, the Python toolkit an AI Engineer ships with.
Want a chatbot or Python product that's measurable, not a science project? Message an AI Engineer and System Architect who has shipped 50+ Python chatbot systems. As your dedicated AI Chatbot Developer, AI Engineer, and System Architect, I offer a free 30-minute consultation to map your Agentic RAG and AI LLM roadmap in Python before you spend a dollar on your build, scoped by a System Architect.
Bring your use case and a System Architect who grounds every chatbot in real data and clean Python will scope it properly. That is the commitment a System Architect stands behind, and the reason a grounded chatbot earns the contract.
Steps for completing your project
After purchasing the project, send requirements so Ghufran can start the project.
Delivery time starts when Ghufran receives requirements from you.
Ghufran works on your project following the steps below.
Revisions may occur after the delivery date.
Revisions may be provided after the project is delivered.
I will ensure delivery of a pixel-perfect design with all required workflows implemented.