Gábor Kőrösi Phd

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos.

I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience and 50+ delivered projects across industrial operations, healthcare, agriculture, retail, and oil & gas. My strength is navigating imperfect data and unclear requirements — and delivering something that works in practice, not just in a notebook.

I have delivered production-ready AI/ML systems across several domains:

- Retail security: anomaly-detection logic for security gate systems in large retail environments

- Agriculture: greenhouse sensor analytics and ML-based decision-support for production optimization

- Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting

- Healthcare: claims analytics, patient population classification, and risk grouping

- Travel & pricing: recommendation systems, demand analysis, and pricing automation

- Research: peer-reviewed AI/ML and NLP publications, university-level collaboration

What I typically build:

- Predictive models and forecasting systems for operational decisions

- Anomaly detection and risk scoring pipelines

- Time-series and sensor data analysis

- Explainable AI with interpretable outputs for non-technical stakeholders

- End-to-end ML solutions from proof-of-concept to production

I work best with clients who have a real business or engineering problem and need someone who understands both the data and the domain — not just the tools.