Skip to content
Rafay Memon

AI Automation Developer

I build systems that connect AI with real business operations.

AI Automation Developer working across backend engineering, AI agents, CRM infrastructure, voice systems, APIs, and workflow automation.

Lead intake system sketchA lead enters the system and reaches an AI step. The AI step routes the work to the CRM, to the backend, or to a human.LeadinboundAIqualifies · decidesCRMrecordsBackendexecutesHumanhandoffcustomer intentAI enters herehuman handoff

Fig. 01 — a lead comes in, the system decides

Karachi, PakistanAvailable for remote opportunities

  • n8n
  • GoHighLevel
  • Node.js
  • TypeScript
  • Claude
  • ElevenLabs
  • Twilio
  • APIs

02 / Selected work

Production systems, not demos.

CrawlSocialMapsPageSpeedBackendJSONClaudeanalysisgated report

01 / Project

Automated Business Audit Platform

A production backend platform that crawls websites, gathers public business intelligence, evaluates digital presence, uses AI to structure findings, generates gated audit reports, and connects engagement back into CRM sales workflows.

Status
Production
Category
AI & Backend Engineering
Stack
Backend APIs, Node.js, n8n +5

Read case study

leadcallqualifybookedretry if unansweredVapiv1latencyElevenLabs + Twilio

02 / Project

Autonomous AI Sales Agent

Voice AI infrastructure that automatically contacts new leads, handles retries, qualifies prospects, executes CRM actions, and books discovery calls.

2
Qualified bookings
2
Closed opportunities
Status
Production
Category
Voice AI & Automation
Stack
n8n, GoHighLevel, ElevenLabs +3

Read case study

SMS · AI CHATaccepted

03 / Project

AI Quote & Conversion System

An automated customer journey combining conversational AI, SMS, conditional quoting, pricing logic, CRM workflows, document generation, and digital quote acceptance.

Status
Production
Category
Conversational AI & CRM Automation
Stack
GoHighLevel AI, WordPress, n8n +3

Read case study

03 / Process

How I build systems

01 / 08

Understand

Understand the task, business problem, constraints, users, and the outcome that is actually wanted.

who is it for?what breaks?what does success look like?constraints?IntakeWebhookOrchestratorn8nAI stepClaudeCRMGoHighLevelBackendNode.jsHumanHandoffRetry queuefound in testingrough on purpose, nothing decided yetthe right tool, not the familiar onereviewed before any code existsimplementing the approved drawingreality ≠ the drawingfirst design is rarely the final oneAPPROVEDedge casesdata flowreliabilitybusiness behaviorDELIVERED
  1. Understand: Understand the task, business problem, constraints, users, and the outcome that is actually wanted.
  2. Plan: Draw the proposed system visually, usually in Excalidraw or another architecture tool.
  3. Choose: Select the stack that fits the problem, instead of forcing the problem into a familiar tool.
  4. Approve: Review the proposed architecture before any implementation begins.
  5. Build: Implement the approved system.
  6. Verify & Iterate: Compare the real implementation against the original drawing. The first design is rarely the final one, so both the build and the architecture get updated.
  7. Review: Functionality, workflows, edge cases, data flow, business behavior, reliability, and production readiness.
  8. Deliver: Hand over the completed and reviewed system.

04 / Capabilities

What I work with

AI Systems

  • Voice AI
  • LLM integrations
  • AI agents
  • AI-powered workflows

Automation

  • n8n
  • CRM automation
  • Workflow orchestration
  • Business process automation

Backend

  • APIs
  • Webhooks
  • Data processing
  • Node.js
  • Business logic

Integrations

  • CRM
  • Telephony
  • AI providers
  • Websites
  • Third-party services

05 / Experience

Where I am now

Aug 2025 — Present

Koresys Pvt Ltd

AI Automation Developer

Progression

  1. Web Development
  2. WordPress
  3. GoHighLevel
  4. Automation
  5. AI Automation
  6. Backend & Applied AI

06 / Current direction

Currently exploring machine learning engineering.

  • Python
  • Machine Learning
  • Google Cloud
  • Vertex AI
  • BigQuery ML
  • MLOps

Working through the Google Cloud Professional Machine Learning Engineer learning path.

07 / About

I'm Rafay, an AI Automation Developer based in Karachi. I build systems that connect AI, backend services, automation platforms, CRMs, websites, and real business processes.

10 / Contact

Have something interesting to build?