I'm Muhammad Usman Haider, a full stack ai engineer helping startups, SaaS teams, and agencies ship production-grade AI applications — LLM integration, RAG systems, and automation that pay for themselves.
The production-tested stack behind the work
Every engagement starts with your problem — not my tech stack. Here's how I turn business friction into working software.
Problem: Your team wastes hours on repetitive manual tasks.
Solution: I design AI workflows that read documents, fill forms, route data, and trigger actions automatically.
Problem: You want AI features but don't know how to ship them safely.
Solution: I integrate GPT-4, Claude, and Gemini into your product with guardrails, cost controls, and observability.
Problem: Your documents and data are impossible to search meaningfully.
Solution: I build retrieval-augmented systems so users get accurate, cited answers from your own knowledge base.
Problem: Support requests pile up and response times slip.
Solution: I build chat and voice AI agents that qualify leads, answer questions, and book calls 24/7.
Problem: Decisions are made on gut feel because data is scattered.
Solution: I build real-time dashboards and admin panels that surface the metrics that actually drive revenue.
Problem: Your idea needs a fast, scalable, modern product to prove itself.
Solution: I build full-stack web apps with Next.js and Node.js — from MVP to production scale.
Problem: Your customers live on their phones but you have no app.
Solution: I build cross-platform mobile apps with React Native that ship to iOS and Android from one codebase.
Problem: Your tools don't talk to each other.
Solution: I build robust REST APIs and integrations (Stripe, EMRs, CRMs, webhooks) that connect your stack.
Problem: Your app is slow, expensive, or falls over under load.
Solution: I deploy on AWS with serverless and containers, tuned for cost and performance.
Tell me the problem and I'll recommend the fastest path to a result.
Real systems serving real users — with the business problem, the build, and the outcome.
AI Visibility & Brand Optimization Platform
The problem. Brands had no way to track how they appear across AI answer engines (ChatGPT, Claude, Gemini, Perplexity) as users shifted from Google to AI search.
What I built. A full-stack platform (Next.js + Nest.js) — built for a VC-backed startup founded by an ex-Amazon Head of SEO — that runs 100K+ daily AI queries and surfaces brand visibility, citations, and competitive rankings in a real-time dashboard.
Outcome
Voice-AI Sales Coaching Platform · $60K+ MRR
The problem. Sales reps had no scalable way to practice and get objective feedback — human coaching didn't scale past a handful of calls per week.
What I built. I architected the backend and infrastructure from scratch (Node.js, Express, Firebase) for an AI sales-coaching product that runs realistic voice roleplays and returns instant, structured feedback.
Outcome
Semantic search & cited answers over any document library
The problem. Teams sit on gigabytes of PDFs, docs, and notes but can't get trustworthy answers without reading everything manually.
What I built. A full-stack RAG application (Next.js + LangChain + Pinecone) that ingests documents, embeds them, and answers questions with GPT-4 — every answer backed by source citations.
Outcome
Expand any project to see the full story — from the problem and research to the architecture, results, and what I learned.
Clear milestones, working software every week, and no surprises. Here's the path from idea to launch.
We define the business problem, users, and success metrics — before a line of code.
I scope the architecture, stack, and timeline into a clear, milestone-based plan.
Wireframes and data models that put UX and maintainability first.
Clean, tested, incremental builds — you see working software every week.
Automated tests, load checks, and QA so it works under real conditions.
Zero-downtime releases on AWS with CI/CD and monitoring wired in.
Post-launch monitoring, iteration, and support to keep it running and improving.
Three years across AI SaaS, healthcare automation, and full-stack product teams — remote and distributed.
Full-service software studio · scalable web & AI solutions
AI healthcare automation · 1,500+ providers, 800K+ tasks/month across North America
Where it started — MERN foundations
Deep across the stack — from React frontends to AI infrastructure and cloud deployment.
Feedback from the products and teams I've helped ship. Your quote could be next.
“Usman architected our voice-AI backend from scratch and it scaled straight past $60K MRR without breaking a sweat. He thinks in systems, not just features.”
“He shipped critical healthcare microservices in a distributed team across three countries and held 99.5% uptime. Reliable, fast, and genuinely senior.”
“The RAG system he built gives us trustworthy, cited answers over thousands of documents. Exactly the AI capability we needed, done properly.”
Practical lessons from shipping AI systems to production — retrieval, cost control, and reliability.
Tell me about your project or problem. I reply to every serious enquiry within 24 hours.
Whether you need an AI feature shipped, a workflow automated, or a full product built — reach out and let's scope it together.