AI Engineer · ML Engineer

• AI & ML Engineer with real-world experience in building, evaluating, and deploying intelligent systems and data pipelines.
• Conducting applied research at the Czech University of Life Sciences Prague (ČZU) focusing on machine learning methods, fuzzy mathematical modeling, and decision-support algorithms.
• Building production-grade ML/AI systems using Python, PyTorch, PySpark, Azure, Docker & FastAPI.
• Strong foundation in math, statistics, and clean architecture design.

🥇 Award-Winning Applied Research Project — Award winner in the Competition for the Best Publication and Applied Project at the international Agrarian Perspectives conference.
🌐 Live Web Application: becomify.app · 📚 Documentation: docs.becomify.app

Software that helps panels of experts turn genuine disagreement into defensible decisions under fuzzy uncertainty.

• Implements the BeCoMe (Best Compromise Mean) method using triangular fuzzy numbers, median/mean consensus aggregation, and outlier-resistant disagreement metrics.
• Complete full-stack architecture with real-world case studies (flood prevention policy, COVID-19 budget allocation, cross-border mobility).