Muhammad Faizan · Remote worldwide
AI Software Developer for Hire
Looking for an AI software developer who ships features that survive production? Muhammad Faizan builds LLM-powered assistants, automation, and AI workflows with secure data handling—for business owners worldwide.
Operators who want AI inside a product customers pay for—not a demo chatbot on a landing page.
- Production AI inside real products
- Assistants, document intelligence, automation
- Guardrails, auth, and data boundaries
- AI + full stack + DevOps when needed
Production AI is a software problem
The model is the easy part to demo. The hard part is auth, tenant boundaries, prompt and document handling, evals, cost, and a UI in React.js that fails gracefully when the model is slow.
I wire AI into SaaS and internal tools the same way I ship other features: clear contracts, logs, and a path to change the model later without rewriting the product.
Where AI actually pays
Support deflection with grounded answers, document intake, drafting inside an existing workflow, and operator copilots that can see only the tenant’s data. If the brief is “add ChatGPT” with no job to be done, I will say so.
Harmos is an example of ongoing AI product work—not a weekend wrapper. Message with the workflow you want faster or safer.
Questions business owners ask
Will you train a custom model from scratch?
Usually no, and you usually should not. Most business ROI is retrieval, tools, and product UX on top of a hosted model—with evaluation and data boundaries.
Can AI features live inside my existing SaaS?
Yes. That is the typical engagement: an assistant or automation inside tenancy, billing, and roles you already have—or that we add.
What do you need to estimate an AI feature?
The user job, where the source data lives, what a wrong answer costs, and whether the feature is customer-facing or internal.
From the journal
Production AI for business: what procurement actually asks
Data handling, cost, and failure modes—how companies evaluate AI features beyond the demo.
Building secure multi-tenant software for client data
Practical tenancy, secrets, and access patterns so client data stays isolated.
B2B product engineering: shipping features buyers will renew for
How senior product engineering prioritizes retention features that keep B2B customers paying.