AI Engineering · Product Development

For startups and businesses that need production AI not another demo.

Build AI That Actually Works in Production

I help startups and businesses turn AI ideas, manual workflows, and product opportunities into production-ready AI systems.

AI Agents · RAG · Automation · AI SaaS · Full-Stack AI

From idea to architecture, development, and deployment one engineer owning the work that has to survive real users.

From idea → architecture → development → deployment

  • AI Agents
  • RAG
  • AI Automation
  • AI SaaS
  • AI Chatbots
  • AI Integrations
  • Next.js
  • FastAPI
The gap

You don't need another AI demo. You need something that works.

A lot of businesses can prototype with AI. The difficult part is turning that prototype into a reliable product connected to real data, APIs, workflows, users, and business processes.

I help bridge that gap.

Have an AI idea?

Turn the idea into a technically sound product and MVP architecture first, then the smallest version that can ship.

Have a manual workflow?

Identify where AI and automation can remove repetitive work without replacing the systems you already run.

Have an existing product?

Add AI capabilities without rebuilding the entire platform integrations, retrieval, and features that sit inside what you already ship.

Have a prototype?

Take it toward a production-ready architecture: data access, auth, error handling, deployment, and monitoring.

Capabilities

What I Can Build

AI Agents

Agents that reason, use tools, access business data, and execute real workflows designed for reliability rather than demos.

RAG & AI Knowledge Systems

AI assistants grounded in company documents, databases, and business knowledge, with retrieval, context, and citations where they help.

AI Automation

Automate lead research, customer support, operations, sales, reporting, and repetitive workflows that currently depend on a person.

AI SaaS Products

Build AI-powered products from a focused MVP through production frontend, backend, data, and deployment under one engineer.

AI Chatbots & Assistants

Website, internal, and customer-facing assistants that operate over your product data with structured outputs and sensible tool use.

AI + API Integrations

Connect AI systems with CRMs, databases, SaaS platforms, internal APIs, and third-party services without forcing a rewrite.

How the work is actually done

I don't just integrate an AI API. I build the system around it.

AI applications need more than an LLM.

  1. Data
  2. Backend
  3. AI / LLM
  4. Tools
  5. Integrations
  6. Security
  7. User experience
  8. Infrastructure
  9. Monitoring

Business problem → System architecture → Production implementation

For technical buyers: this is the work of a forward-deployed engineer sitting with the problem, designing the system, and shipping it into production rather than handing over a prototype.

Engagement

How We Work

    01

    Discover

    Understand the business, users, workflow, and desired outcome before choosing a model or architecture.

    02

    Architect

    Choose the right models, data layer, integrations, infrastructure, and product approach for the problem.

    03

    Build

    Develop the application, AI layer, APIs, automation, and user experience as one system.

    04

    Deploy

    Move the system into production with the infrastructure required to operate reliably.

    05

    Iterate

    Measure usage, identify problems, and improve the system based on real-world feedback.

Proof

Selected Work

Real systems I've designed and built.

Hexify AI CRM

Sales teams were spending hours researching prospects, scraping data, and writing outbound by hand.

Automated lead discovery, AI enrichment, email finding, lead scoring, and a CRM front-end with pipeline and automation.

React · Next.js · Node.js · OpenAI · Playwright · PostgreSQL

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Skannr production AI software by Asad Iqbal

Skannr

Patients and providers needed a single conversational entry point to discover scans, check availability, and book appointments.

Conversational AI assistant, retrieval over provider and procedure data, FastAPI services, and a Next.js front-end.

Next.js · FastAPI · OpenAI · PostgreSQL · AWS · RAG

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SEO Scrapper production AI software by Asad Iqbal

SEO Scrapper

Businesses needed a way to audit and improve websites using Technical SEO, AI SEO, GEO, and AEO not a one-off report.

An AI-powered SEO intelligence platform with audits, an AI chat assistant, performance reports, and white-label outputs.

Next.js · React · Node.js · PostgreSQL · OpenAI · Tailwind

View live product
Who this is for

Built for teams that need an engineer, not another consultant.

I work best with teams that have a real problem to solve and need someone who can take ownership of the technical implementation.

    Startup founders building AI products

    SaaS companies adding AI capabilities

    Businesses automating manual workflows

    Agencies needing an AI implementation partner

    Technical founders who need hands-on engineering

Fit

Is Your Project a Good Fit?

A good project usually has:

  • A clear business problem
  • A real user or customer
  • A willingness to invest in implementation
  • Access to required data and systems
  • Someone who can make decisions quickly

Not sure what you need yet?

That's okay. Start with a conversation and we can determine the right technical approach together. You don't need to know the model, architecture, or stack first.

Start a Project
Start here

Tell me what you're building

Share a few details about the project. I'll review the requirements and get back to you with the best next step.

Your information is only used to understand your project and respond to your inquiry.

Have an AI idea worth building?

Let's turn it into a production system.