Define the outcome before the stack
Every engagement starts by writing down the measurable KPI (conversion rate, response time, hours saved) so we can prove the AI system pulls its weight.
Agentic AI Engineer
From Proof-of-Concept to Production-Ready AI Systems.
I help startups and enterprises build scalable Agentic AI, RAG workflows, and SaaS platforms that deliver measurable ROI.
Outcomes that matter
4.8/5 ⭐
Average Rating (100+ Deployments)
Top Rated 🏆
Upwork & Level 2 on Fiverr
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Job Success Score
Muhammad Haseeb
Agentic AI Engineer & n8n Automation
Full-Stack AI Systems & Automation Services
Custom AI applications, agentic workflows, and production systems designed for real business impact—SaaS, mobile, and generative AI.
Full Stack AI SaaS Development
Design and ship production AI SaaS: multi-tenant auth, billing, admin dashboards, observability, and secure model integrations—built for teams in the US, UK, Canada, EU, Gulf, and South Asia, with remote delivery worldwide.
Learn moreCross-Platform AI Mobile App Development
Ship AI-native mobile experiences on iOS and Android with shared codebases, secure on-device and cloud AI flows, and store-ready release processes—ideal for US, UK, and global teams building customer-facing apps.
Learn moreGenerative AI Development
Voice, chat, and avatar agents; workflow automation; and RAG systems grounded in your documents—with evaluation harnesses and production guardrails. Built for organizations across North America, Europe, the Gulf, and South Asia.
Learn moreProof Through Delivery
AI products and platforms shipped for real businesses—case studies with scope, stack, and outcomes.
Tuttle Case Study: AI Localization Platform Architecture
How Tuttle engineered a multilingual workforce platform using React, Express, Next.js, Stripe, HeyGen, DeepL, and S3.
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Twinsting Case Study: Role-Aware Marketplace Architecture
A 2026 engineering case study of Twinsting's Next.js + Node.js architecture for multi-role service commerce, payout orchestration, and realtime delivery.
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COOARD Salon & Barber Booking Platform Case Study
How COOARD engineered a multi-tenant salon operating system with Supabase RLS, Stripe billing, omnichannel notifications, and App Router architecture.
Read case studyHow we ship
An opinionated playbook for production AI
Most AI projects die between the prototype and production. These four habits come from shipping RAG assistants, voice agents, and n8n workflows for SaaS, fintech, and services teams — and they are what keep the systems alive after launch.
Ship a small thing that works in prod
An MVP is deployed in weeks, not months — wired into real data, real auth, and real monitoring so we can tell if it is actually useful.
Instrument before scaling
Failure paths, retries, and telemetry go in from day one. If a workflow quietly breaks, we find out in minutes, not from a customer complaint.
Keep a human in the loop where it matters
For anything that touches revenue or compliance, we design approval steps and fallbacks so the AI augments the team instead of replacing judgment.
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Practical guides on AI engineering, automation, and system design
Explore implementation-focused articles on agentic AI, no-code automation, RAG, and modern product architecture for business growth.
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