You will get automation workflows using n8n, Zapier, APIs or custom backend
Project details
Automate your business processes with reliable and scalable workflows. I build automation using n8n, Zapier, APIs, or custom backend solutions to save time and reduce manual work. Unlike basic setups, I focus on clean logic, error handling, and scalable systems that grow with your needs.
Programming Languages
JavaScript, Python, GoCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 50 | 150 | 300 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Install Script | - | - | - |
Test Script | |||
Task Automation |
Optional add-ons
You can add these on the next page.
Install Script
(+ 1 Day)
+$15Frequently asked questions
About Shahid
Software Engineer | AI SaaS & Automation | Python, Golang
Mirpur, Bangladesh - 7:43 am local time
With hands-on experience in AI startups and real-time data platforms, I specialize in designing and delivering high-performance systems—from MVP to production-grade SaaS.
What I can help you with:
AI-powered SaaS development (OpenAI, Gemini, Groq, DeepSeek)
Automation systems (AI and custom API integrate by n8n, zapier)
Backend development (FastAPI, Django, Golang)
Microservices architecture (RESTAPI, gRPC, RabbitMQ, Celery)
Web scraping & data pipelines (SERP, eCommerce, large-scale extraction)
API integrations (Amazon, Google, third-party platforms)
Bug fixing, performance optimization, and scaling
MVP development for startups (fast, clean, scalable)
My experience includes:
Migrated monolith to microservices → achieved 10× performance improvement
Built real-time ad-tech pipelines handling large-scale data
Developed AI content generation systems with multiple LLM integrations
Implemented vector search (pgvector) for intelligent content linking
Designed scalable background job systems using RabbitMQ & Celery
Tech stack:
Golang, Python (FastAPI, Django), PostgreSQL, MySQL, Redis, Docker, gRPC, WebSockets
I focus on clean architecture, performance, and delivering working solutions fast. Whether you need a quick fix or a full SaaS system, I can jump in and get it done.
Steps for completing your project
After purchasing the project, send requirements so Shahid can start the project.
Delivery time starts when Shahid receives requirements from you.
Shahid works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Define business logic, data mapping, and technical constraints for the automation.
Workflow Design
Map the logic flow and architecture for n8n/Zapier to ensure optimal efficiency.