Building AI-powered automation with engineering precision. Mechanical Engineering background transitioned into AI/ML, combining systematic problem-solving with intelligent systems.
Building and deploying ML models, from predictive maintenance to custom AI solutions.
Creating end-to-end automated pipelines with n8n, handling data collection, processing, and AI tasks.
Developing Retrieval-Augmented Generation systems for domain-specific AI assistants.
Designing data pipelines, web scraping workflows, and automated content generation systems.
Automated content pipeline that scrapes data from predefined websites using OpenRouter and creates optimized posts for various platforms.
AI assistant using Retrieval Augmented Generation to provide construction and home improvement advice based on domain knowledge.
Built 10+ automated workflows combining AI APIs, data processing, and external integrations for various business use cases.
Machine learning model for predicting industrial equipment failures to enable proactive maintenance scheduling.
Interactive visualization dashboard for monitoring and analyzing factory energy usage patterns and optimization opportunities.
Budapest University of Technology and Economics
Present
Budapest University of Technology and Economics
Completed
I'm a Mechanical Engineer with a passion for intelligent systems and data-driven solutions. Currently pursuing my MSc in Mechanical Engineering Modelling at Budapest University of Technology and Economics, I'm expanding my expertise into AI and Machine Learning.
My engineering background gives me a systematic approach to problem-solving, which I apply to building AI-powered automation solutions. I'm particularly interested in combining traditional engineering principles with modern AI techniques to create practical, impactful solutions.
When I'm not building AI systems or workflows, I'm applying my mechanical engineering skills to design and optimization projects. I'm always open to new challenges and collaboration opportunities in the AI/ML space.