You will get AI Workflow Automation — n8n, Make, Zapier, API & AI Agents
Project details
I build AI-powered automation systems that keep running after the screen share ends — with error handling, logging, and monitoring
baked in from day one.
This is not template automation. Every system is architected for your specific workflow, built to scale, and documented so your team can maintain it without calling me.
What you get:
• Custom automation built in n8n, Make, Zapier or Python
• AI integration using Claude, GPT, or open source models
• Error handling and retry logic — no silent failures
• Real-time alerts when something needs attention
• Full documentation and handover
Example: Automated Upwork job scanner that scrapes listings, scores each opportunity with Claude AI, and delivers ranked job cards to Telegram with one-click actions — zero manual browsing required.
Based in Melbourne (GMT+10) — you send a brief in your evening, you wake up to a working automation.
Ideal for: lead capture, CRM sync, AI assistants, job monitoring, reporting pipelines, and any repetitive workflow that costs your
team time every day.
baked in from day one.
This is not template automation. Every system is architected for your specific workflow, built to scale, and documented so your team can maintain it without calling me.
What you get:
• Custom automation built in n8n, Make, Zapier or Python
• AI integration using Claude, GPT, or open source models
• Error handling and retry logic — no silent failures
• Real-time alerts when something needs attention
• Full documentation and handover
Example: Automated Upwork job scanner that scrapes listings, scores each opportunity with Claude AI, and delivers ranked job cards to Telegram with one-click actions — zero manual browsing required.
Based in Melbourne (GMT+10) — you send a brief in your evening, you wake up to a working automation.
Ideal for: lead capture, CRM sync, AI assistants, job monitoring, reporting pipelines, and any repetitive workflow that costs your
team time every day.
AI Algorithms
Generative Adversarial Network, Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Speech, AI-Generated Code, AI-Generated Video, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, NVIDIA AI PlatformAI Models
ChatGPT, DALL-E, GPT-4, LLaMA, Midjourney AI, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$300
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
Additional Revision
+$50
Additional Workflow
(+ 2 Days)
+$200
Post-Delivery Support (7 days)
(+ 7 Days)
+$150Frequently asked questions
About Muhammad
AI Production Engineer | Video Ads | Automation | 16yr IT Veteran
Melbourne VIC, Australia - 8:27 am local time
I'm neither.
16 years in enterprise IT — systems engineering, cybersecurity, solutions architecture across government and private sector in Australia. That background means one thing in practice: I build AI systems that actually keep running. Not demos. Not prototypes. Production.
Two things I build. One standard across both.
AI Video Production:
I run a dedicated AI video studio — my own GPU hardware, my own pipeline, operating 24 hours a day. No shared cloud queues. No API rate limits. No "let me check if the model is available."
You send a brief in your evening. I'm in Melbourne (GMT+10) — already working. You wake up to finished creative. Product showcases, UGC-style ads, batch variants for A/B testing, multi-format delivery. Everything goes through proper post-production before it reaches you. Brand-ready output, not raw AI artifacts. Luxury product commercials, spec ads, and brand campaigns that look like they cost ten times what they did.
AI Automation & Workflow Architecture:
I build automations that stay running after the screen share ends. Error handling, logging, monitoring, retry logic — baked in from day one, not bolted on after something breaks. When something goes wrong, you get an alert with the exact error. Not a silent failure you discover three weeks later when leads have stopped syncing.
n8n, Make, Zapier, Python, AI agents — whatever fits your situation, not what I prefer to practice on.
The through-line:
Whether it's a video pipeline or an automation system, the engineering standard is the same. It has to work at 3am when nobody's watching. It has to scale when you need 50 outputs instead of 5. It has to be documented well enough that your team can maintain it without calling me.
That's not a feature. That's the baseline I won't ship below.
How it starts:
Tell me what you're building. I'll respond within hours with a direct assessment — no pitch, no fluff. If it's a fit, we'll scope it properly before anything starts.
Tell me what's broken or what you want to build. I'll reply within hours.
Muhammad Gulzar
Melbourne, AUSTRALIA
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture
Map your existing workflow, identify automation points, and confirm the tools and integrations required. Agree on scope before any building begins.
Build & Integration
Build the automation workflow with all integrations connected — APIs, databases, AI models, and notification systems wired and tested end to end.