WORK EXPERIENCE

AI/ML Engineer, Data Scientist — Monodon Solutions, Budapest
2022 – 2026
End-to-end development and operation of machine learning solutions in cloud environments across multiple
projects: an LLM-based, Neo4j graph-database-driven agentic chatbot system (AWS); a short-term weather
forecasting system based on meteorological station data and all-sky camera imagery (Azure Databricks); a
sports analytics backend (AWS Lambda, GraphQL, Aurora PostgreSQL); machine-learning-based
categorization of web content; machine learning-driven sports performance analyses by integrating and
interpreting data from multiple sources.

Student Developer — Ericsson, Budapest
2023 – 2025
Developed a data collection system for video-based services (Microsoft Teams, TikTok, live streaming) to
analyze network traffic; designed measurement scenarios, performed statistical evaluation, and built machine
learning models to estimate bitrate, stalling, and resolution, implemented in a production-grade C++
environment.

Research Assistant — Ericsson & BME collaboration, Budapest
2021 – 2023
Estimated QoS and QoE metrics for encrypted network traffic using AI/ML methods; built a test and data
collection system introducing artificial degradation, and a framework optimizing network resources based on
QoE values and operator inputs.

EDUCATION

PhD in Electrical Engineering — BME Doctoral School of Electrical Engineering (Budapest)
2026 – Present
MSc in Business Informatics — Budapest University of Technology and Economics (BME)
2026
BSc in Computer Engineering — Budapest University of Technology and Economics (BME)
2021