I use Artificial Intelligence and Machine Learning to build intelligent, real-world automation and AI solutions using Python and n8n. My work focuses on applying AI practically to reduce manual effort, improve efficiency, and deliver reliable, ready-to-use systems.

I have hands-on experience building AI-powered automation workflows where tasks such as data processing, system triggers, notifications, and API integrations are automated using Python and n8n. I have developed workflow-driven AI systems that reduce manual processing and improve operational efficiency through structured automation and intelligent decision logic.

I have also built machine learning–based prediction systems, including a multi-disease prediction platform that analyzes user inputs to predict conditions such as diabetes, heart disease, thyroid disorders, and Parkinson’s disease. These systems were designed with optimized data pipelines and user-friendly interfaces to support real-time predictions.

In addition, I have worked on a computer vision project for cat emotion recognition, using Convolutional Neural Networks (CNN) and ResNet-18. This project involved image preprocessing, deep feature extraction, transfer learning, and model evaluation to classify emotional states from facial images.

Across all projects, I focus on clean implementation, practical AI usage, and deployable solutions rather than theoretical models. I work with Python for data processing and ML logic, and n8n for orchestration, automation, and integrations.

You will receive a custom, ready-to-use solution, clear guidance, and a system designed around your exact requirements. This service is ideal for clients looking to apply AI, ML, and automation to real problems with measurable outcomes.