I will build ai automation workflows with n8n, python

Looking to automate repetitive workflows, connect your data to AI, or build a smart agent system that saves time?

I'm a Computer Science graduate (Computer Vision & Deep Learning), currently working as an AI Automation Engineer designing and deploying production AI systems for a real e-commerce platform.

What I can build for you:

Multi-Agent AI Pipelines orchestrator, tool-calling, guardrails (Python + Gemini API)

RAG Systems connect your documents/data to an LLM for accurate, context-aware answers

n8n Workflow Automation end-to-end workflows integrating AI agents with your APIs/tools

AI-powered Reporting natural-language KPI reports generated from your data

Content/Publishing Automation scrape outline write publish pipelines

Recent results:

AI Agent Platform (Python + Gemini API) that cut manual processing time by 50%

RAG pipeline turning documents into real-time KPI reports (was days, now real-time)

n8n workflows sustaining 100+ articles/week, zero manual writing

I approach automation like a Business Analyst: understand your workflow first, then design a system that fits (PRD/SRS/BPMN docs available if needed).

Tech: Python, Gemini API, n8n, RAG, PyTorch, Pandas, SQL, Docker