AI Engineer Β· 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 (ΔZU) 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.
π₯ Award-Winning Applied Research Project β Award winner in the Competition for the Best Publication and Applied Project at the international Agrarian Perspectives conference.
π Live Web Application: becomify.app Β· π 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).
