Available for automation projects
AI Automation Engineer
AI Agents • Python • APIs • SaaS & Business Automation
“Building intelligent systems that connect AI, APIs and real business workflows.”
Bahawalpur, Pakistan
01 — Introduction
I build AI-powered automation systems: agents, chatbots and API integrations that take repetitive tasks off people's plates and plug directly into the tools businesses already use.
02 — About Hadia
I'm an AI Automation Engineer based in Bahawalpur, Pakistan, working mainly in Python. My focus is connecting large language models with platforms like WhatsApp, Facebook, Instagram, YouTube and Google Sheets to create practical, end-to-end workflows.
From voice agents to data consolidation tools, I enjoy turning a messy manual process into a clean, reliable system.
Problem → System
I don't approach automation by asking what AI can do. I start by understanding what the business actually needs.
Problem
Customer Conversations
AI Voice Automation
Problem
Repetitive Customer Messages
WhatsApp Automation
Problem
Social Interactions
Facebook & Instagram Automation
Problem
Content Operations
YouTube Automation
Problem
Fragmented Business Data
Data Consolidation
Problem
Repetitive Processes
AI + API Workflows
03 — Skills & Expertise
Core language for automation, scripting and AI agents.
LLM-powered agents, chatbots and content generation.
Designing and integrating APIs across services.
Facebook & Instagram automation and webhooks.
Messaging automation and conversation flows.
Spreadsheet sync and lightweight data backends.
Fast, clean dashboards and app interfaces.
Merging, cleaning and structuring multi-source data.
04 — Portfolio Overview
Every project includes a demo video and a case study so you can see how it works.
05 — Featured Projects
Real systems built around real workflows — each with the problem, the solution and a working demo.
Problem: Routine spoken customer conversations take up staff time and are hard to handle consistently.
Solution: A voice agent that listens, understands the request with an LLM and replies in natural speech.
Problem: Producing YouTube content consistently involves many repetitive manual steps.
Solution: A SaaS-style autopilot that automates the pipeline from idea to script to publishing workflow.
Problem: Brand pages receive comments and DMs on two platforms that need fast, consistent replies.
Solution: One combined auto-reply system for Facebook and Instagram using the Meta Graph API and webhooks.
Problem: Repetitive customer messages on WhatsApp consume time and delay responses.
Solution: Automated WhatsApp replies, templates and conversation routing through the Cloud API.
Problem: Keeping a regular social presence requires constant, repetitive content work.
Solution: A bot that generates captions and posts with AI and automates the posting workflow.
Problem: Property data scattered across multiple sources is slow to merge and review by hand.
Solution: A system that merges, cleans and structures multi-source property data into one dataset.
Problem: Users need quick answers and guidance without waiting for a human.
Solution: A custom AI chatbot with tailored prompts, knowledge and conversation memory.
06 — Project Demos
AI Enterprise Voice Agent
Voice AI · Conversational Agent
AI YouTube Automation SaaS
SaaS · Content Automation
Facebook & Instagram AI Automation
Social · Meta Integrations
WhatsApp Business Automation
Messaging · WhatsApp Cloud API
AI Social Media Automation
Content · AI Bot
Smart Property Consolidation System
Data · Consolidation
AI Chatbot Development
Conversational AI · Web
07 — Explore the Engineering
Go beyond the interface and explore the repositories, architecture and implementation behind selected projects.
aurangzaib-ai/FACEBOOK-INSTAGRAM-AUTOREPLY
amnahadia34-dotcom/Whatsapp-Automation-
amnahadia34-dotcom/SOCIAL-MEDIA-BOT-PROJECT
amnahadia34-dotcom/Property-moduler
08 — Technology Stack
The technologies behind the projects above, grouped by the role they play in a system.
AI & Intelligence
Backend & Programming
Applications & Data
Business Integrations
Development
09 — Engineering Approach
Map the real business process, identify bottlenecks and determine what actually needs automation.
Choose the right AI models, APIs, data flows and system architecture for the problem.
Develop the automation and connect intelligence with real tools, APIs and business workflows.
Validate workflows, edge cases, integrations and reliability before considering the system complete.
System thinking
10 — Contact
I'm interested in AI automation, intelligent agents, API integrations and business workflow challenges where technology can create practical value.