Aatizaz Khan, freelance AI engineer and full-stack developer in Rawalpindi and Islamabad, Pakistan: I build AI that feels effortless.

Every project has a fixed price, quoted after I review your requirements. Budgets range from under $1,000 for small builds to $8,000 and more for full AI systems or mobile apps, depending on scope. The quote itemises each deliverable, so you see what every part costs before work starts.

You can pay 50% upfront, or split the total into three instalments across the project. We agree the schedule in writing before any work begins, so both sides know exactly what is due and when. Nothing beyond the agreed fixed price is billed without your approval.

Every fixed-price project includes two rounds of revisions. A revision covers changes to the agreed features, design or copy. Requests beyond two rounds, or anything that changes the project's scope, are quoted separately, which protects the original price and timeline for both of us.

Every project includes two weeks of free support after release, covering bug fixes and questions about the finished product. For ongoing updates, monitoring or new features after that, I offer a monthly retainer, with the scope and terms agreed together before it starts.

No, not if your project includes a custom CMS. I build an admin panel, typically with React and Supabase, where you edit pages, services and blog posts yourself. MediShields, a US medical billing company, manages its own services, specialties and blog this way without a developer.

Yes. Send the change and I'll assess its impact on the current stage of the project, then propose an updated plan with any cost or timeline adjustment before continuing. Scope changes are quoted separately, so the rest of the project stays on schedule and nothing is billed without your approval.

Yes. I work directly with businesses and startups, and alongside agencies and product teams. I can fit into your existing repository, tools and review process, or take a project from first sketch to release on my own, with one person accountable for every step.

Yes. I'm based in Rawalpindi and Islamabad, Pakistan (UTC+5), and work with clients worldwide; MediShields, for example, is a US company. Every message gets a personal reply within two days, and we agree how often you get progress updates before the project starts.

A RAG (retrieval-augmented generation) pipeline lets an AI model answer from your own documents by retrieving the relevant passages before it responds. You need one when a chatbot or assistant must give accurate, source-backed answers about your products, policies or data, rather than general knowledge.

Yes. I train and fine-tune models on client data with TensorFlow and Hugging Face, evaluate them against clear metrics, and deploy them behind a FastAPI service in the cloud. A medical image segmentation model I built, for example, reached 89% accuracy.