Umair
Iqbal

AI Systems Architect · Automation Engineer · SaaS Founder

Built with
Next.jsNode.jsPythonPostgreSQLRedisSupabaseFlowiseOpenRouterOllamaClaude APIOpenAIStripeVercelTypeScript

About me

I build AI systems and automation infrastructure that run in production. Not experiments. Not demos. Systems that businesses depend on every day.

My work covers the full stack: LLM integration, multi-agent pipelines, RAG and vector databases, local model deployment, and full-stack SaaS development. I own the architecture from day one through to deployment.

I work with clients on AI and automation projects, and build my own products, ViewFlow and LaunchAudit, at production scale.

Currently based in Riyadh. Working with clients and ventures globally.

Languages
PythonJavaScriptTypeScriptHTMLCSSSQL
Frameworks
ReactNext.jsNode.jsTailwindPandasNumPy
Data & Infra
SupabasePostgreSQLRedisVector DBRAG InfrastructureVercel
Automation
Multi-agent OrchestrationFlowiseOpenClaw
AI & GenAI
Claude APIGPT (OpenAI)GeminiOpenRouterOllamaLM StudioNVIDIA NIMPrompt Engineering

Capabilities

01

AI Automation Systems

End-to-end automation infrastructure: data extraction, classification, decision routing, and output delivery. All driven by large language models and orchestrated at scale.

Manual workflows replaced with LLM-driven pipelines. Less ops overhead, faster turnaround.

02

GenAI Product Integration

Wiring Claude, GPT, and Gemini into real products via structured APIs. From resume reviewers to AI auditors and beyond. Not demos. Production integrations.

AI scoring, analysis, and decision tools embedded directly into your product.

03

Full-Stack Platform Development

Building complete SaaS platforms: authentication, billing (Stripe), background jobs (BullMQ/Redis), database (PostgreSQL/Supabase), deployed on Vercel. Architected for scale.

Production-deployed apps on Next.js, Node.js, and Postgres. Scalable from day one.

04

Prompt Engineering and LLM Ops

Crafting structured prompt systems, evaluation frameworks, and LLM operations pipelines that produce consistent, production-grade outputs across thousands of calls.

Reliable, repeatable AI outputs. Not fragile one-off prompts.

05

Systems Architecture and Roadmapping

Translating business requirements into complete technical architecture: ERDs, API contracts, phased build plans, and GTM strategy. So development starts right.

Full technical specs and phased roadmaps before a line of code ships.

AI Infrastructure

The infrastructure layer that production AI systems depend on.

Multi-Model Routing

OpenRouter-based routing across multiple LLM providers. Optimized for cost, speed, and reliability. No lock-in to a single provider.

Local LLM Deployment

Models deployed locally using Ollama, LM Studio, and NVIDIA NIM. Suitable for privacy-sensitive use cases, cost control, and offline environments.

Vector Databases and RAG

Retrieval-augmented generation pipelines for AI applications that need access to your own data. Built for production, not experimentation.

Agent Orchestration

Multi-agent systems built with Flowise and OpenClaw. Handles task execution, branching workflows, and tool use at scale.

Case Studies

01
Telegram Growth Automation Platform

ViewFlow

Problem

Telegram channel owners need consistent post engagement to grow. Manual promotion does not scale.

System Built

Subscription SaaS that automates Telegram post view growth via @PostBoosterBot. Includes a 6-phase growth roadmap with revenue milestones and a tracking dashboard for daily operations.

Result

Live, revenue-generating product. Milestone-based growth model scaling from MVP to a multi-tier subscription system.

Tech
Node.jsTelegram Bot APIAutomation Infrastructure
ViewFlow preview 1
ViewFlow preview 2
ViewFlow preview 3
02
Website Security, SEO & Performance Audit SaaS

LaunchAudit

In DevelopmentView Live
Problem

Developers using tools like Cursor, Lovable, and Bolt ship sites quickly but skip security, SEO, and performance checks.

System Built

Full SaaS platform that audits website security, SEO, and performance. Built on Next.js 15, Node.js, PostgreSQL, Redis, BullMQ, Clerk, Stripe, and the Anthropic and Google PageSpeed APIs. Includes 5-tier pricing and a targeted SEO strategy.

Result

Full technical and go-to-market plan delivered, including a ProductHunt launch at Week 8 and an AppSumo listing at Week 10.

Tech
Next.js 15Node.jsPostgreSQLRedisBullMQClerkStripeAnthropic API
LaunchAudit preview 1
LaunchAudit preview 2
LaunchAudit preview 3
03
AI Automation & Digital Infrastructure

BlockAstro

Active
Problem

Businesses need AI automation and digital infrastructure built properly, not generic web development with AI added on top.

System Built

Founded and structured BlockAstro with 3 service tiers ($1K-$8K) and delivery systems covering AI automation, Telegram and Discord infrastructure, and e-commerce automation.

Result

Active venture with a structured delivery pipeline. Scoping, building, and shipping production AI systems for clients globally.

Tech
Next.jsNode.jsPythonFlowiseTelegram/Discord APIsSupabase
04
AI Education Platform, Technical Architect & Equity Partner

Thinkpedia.ai

Active
Problem

An education venture building an AI-powered platform needed a sole technical architect to design and deliver the system from scratch.

System Built

Joined as Technical Architect with a 25% equity stake. Full ownership of technical direction, stack selection, and platform architecture.

Result

Equity partnership secured with full vesting protections, reflecting the level of technical responsibility and trust in the role.

Tech
Stack TBD
05
AI Tools Discovery & Verification Platform

AIVault

Planned
Problem

The AI tools market is disorganized. Users struggle to find and trust the right tools, and tool owners have no reliable way to showcase their products.

System Built

Designed a complete platform including a 16-section developer brief, full PostgreSQL schema, 60-page sitemap, and an 18-week build roadmap. Restructured the business model around a SaaS dashboard for tool owners, turning the public directory into a paid acquisition channel.

Result

Full architecture and go-to-market strategy complete, ready for build.

Tech
PostgreSQLNext.jsNode.js

Process

01

Discovery

Understand the actual problem before writing a single line of code.

02

Architecture

Full technical spec and roadmap agreed before development begins.

03

Build

Delivered in phases. Working systems ship early, improvements follow.

04

Deploy & Handoff

Production deployment, documentation, and a clean handoff or ongoing support.

FAQ – Common Questions about Umair Iqbal, AI Systems Architect

Umair Iqbal is an AI Systems Architect and Automation Engineer based in Riyadh, Saudi Arabia. He builds production AI systems, SaaS platforms, and automation infrastructure for clients and ventures globally.

He designs and delivers production AI systems, not prototypes. His work includes LLM integration, multi-agent systems, RAG and vector infrastructure, local model deployment, and full-stack SaaS development. He owns the full architecture from planning through to deployment.

ViewFlow (a live Telegram automation SaaS generating revenue), LaunchAudit (a website security and performance audit SaaS in development), the technical architecture for Thinkpedia.ai (an AI education platform with a 25% equity stake), and BlockAstro (an AI automation and infrastructure venture).

Next.js, Node.js, Python, TypeScript, PostgreSQL, Redis, Supabase, and Vercel, along with Claude API, OpenAI, Gemini, OpenRouter, Ollama, LM Studio, NVIDIA NIM, Flowise, BullMQ, Stripe, and Clerk.

Get in touch

Ready to build? Let's talk.

Hiring / Roles / Partnerships

Hiring a senior AI systems architect, automation engineer, or technical co-founder?

Open to senior engineering roles, technical advisory positions, and equity-based partnerships. Download my resume or get in touch directly.

Projects and Collaboration

Need AI integration or automation infrastructure for your project? Book a call or message directly.

© 2026 Umair IqbalBuilding globally. Based in Riyadh.