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Sabbir Ahmed

AI Automation Engineer | n8n | API Integration

I build intelligent automation systems using n8n, APIs, and AI to streamline business workflows.

About Me

Get to know who I am and what drives my passion

I'm a Computer Science and Engineering (CSE) student and a passionate automation enthusiast. With a deep interest in workflow automation and AI integration, I specialize in creating intelligent systems that solve real-world business problems.

My expertise lies in building robust automation workflows using n8n, integrating APIs, and leveraging webhooks to connect disparate systems. I'm proficient in JavaScript and Python, which allows me to create custom solutions tailored to specific automation needs.

I believe in the power of automation to transform businesses by reducing manual work, minimizing errors, and enabling teams to focus on high-value tasks. Every project I undertake is driven by the goal of delivering measurable business impact.

Skills & Expertise

Technologies and tools I work with

Automation
n8n
Zapier
Make (Integromat)
Workflow Design
Programming
JavaScript (ES6+)
Python
C++
Node.js
Integration
REST APIs
Webhooks
JSON
OAuth 2.0
Database
MySQL
MongoDB
Firebase
PostgreSQL

Featured Projects

Real-world automation solutions I've built

AI Lead Qualification & Auto Booking

An intelligent n8n workflow that automatically qualifies leads using AI, segments them by qualification score, and seamlessly books meetings through Calendly integration.

n8n AI/ML Calendly API Webhook
GitHub Demo

Multi-Platform Data Automation

A comprehensive workflow that syncs data across multiple platforms (CRM, Email, Spreadsheets) in real-time, eliminating manual data entry and ensuring data consistency.

n8n REST APIs Database JavaScript
GitHub Demo

API Monitoring & Alert System

A real-time monitoring solution that tracks API health, response times, and error rates. Sends instant alerts via Slack and email when issues are detected.

Node.js REST API MongoDB Slack API
GitHub Demo

HAR Optimization using Custom SVM

An advanced machine learning model using Support Vector Machines to optimize HTTP Archive (HAR) files for web performance, reducing load times and bandwidth usage.

Python Machine Learning SVM Data Analysis
GitHub Demo

Let's Connect

I'm always open to discussing automation projects, technical insights, or opportunities

Connect with me on social media