Experience

CTO

Proximata · May 2026 — Present · Vienna, Austria

• Leading technical strategy and execution at Proximata, a Vienna-based hacker lab.
• Driving product and engineering decisions from concept to production for AI-native products.
• Building tech solutions and spinoffs by enabling ambitious builders with infrastructure and resources.

[technical leadership][ai systems][product engineering][venture building]

Builder

mesh. · June 2025 — Present · Budapest, Hungary

• Member of Hungary's first hacker space.
• Engineering an ML-driven SaaS that generates stylized comics with consistent characters from images.
• Rapid prototyping using Supabase, Firebase, and modern full-stack tools.
• Leveraging AI agents (Cursor, Gemini CLI, Copilot) for accelerated, parallelized development.

[ai agents][ml prototyping][saas][supabase][firebase][llms]

Data Engineer

Deutsche Telekom IT Solutions HU · May 2024 — Jul 2026 · Budapest, Hungary

• Engineering scalable ML solutions and pipelines for the fixed-line business segment.
• Building a modern Data Lakehouse using Apache Iceberg on Google Cloud Platform.
• Developing automated Apache Airflow pipelines for robust data ingestion and processing.

[ml engineering][apache iceberg][gcp][airflow][data lakehouse]

Advanced Analytics Expert

Vodafone Hungary · Oct 2023 — Apr 2024 · Budapest, Hungary

• Optimizing network infrastructure using unsupervised machine learning techniques.
• Implementing Explainable AI (XAI) to drive business engagement and trust in model decisions.
• Developing interactive geospatial visualizations to support strategic network planning.

[unsupervised ml][xai][geospatial][python]

Discover Graduate Program

Vodafone Hungary · Sep 2021 — Oct 2023 · Budapest, Hungary

• Rotations: Data Engineer, Data Warehouse Specialist, Data Analyst, Data Scientist.
• Built cloud migration ETL pipelines and optimized data marts on a cloud-native lakehouse.
• Architected geospatial retail data models and translated analysis into stakeholder reports.
• Delivered ML models for B2B clients, a geospatial feature store, and automated competitive-intelligence scraping.

[cloud migration][etl][sql][geospatial][ml]

Undergraduate Research Fellow

Institute of Biochemistry, Biological Research Centre · Jan 2019 — Jun 2020 · Szeged, Hungary

• Developed computer vision plugins for automated biological image analysis.
• Applied deep learning techniques to high-throughput microscopy data.
• Designed and implemented robust data management systems for large-scale measurements.

[computer vision][deep learning][biomedical imaging]

MS Business Analytics

Central European University · 2025 — 2026

BS Molecular Bionics

University of Szeged · 2016 — 2020

Exchange — Biomedical Engineering

Universidad CES, Colombia · 2019