Experience

  1. Research Engineer (AI & Urban Infrastructure)

    Kyivvodokanal (Innovation Division)
    • Developed GNN-based leak detection pipeline integrated with GIS.
    • Coordinated cross-institutional research proposals.
    • Built predictive optimization models using EPANET + CMA-ES.

Education

  1. PhD Artificial Intelligence for Water Infrastructure

    National Technical University of Ukraine "KPI"
    PhD research on hybrid GNN+PINN architectures for adaptive water distribution, leak detection, and SCADA integration in smart cities.

  2. MSc Water Engineering & Data Science

    NUWEE

  3. BSc Systems Analysis

    KPI
Skills & Hobbies
AI & Data Science
Python
Graph Neural Networks
EPANET / SCADA / WNTR
Communication & Soft Skills
Scientific Writing
Proposal Writing
Public Presentations
Awards
Best Paper Award – AI for Water Conference
Water Association ∙ May 2024
Recognized for presenting a hybrid GNN-PINN model for real-time water network optimization.
Research Mobility Grant
DAAD / EU ∙ November 2023
Awarded for joint research with Hamburg Wasser and TUHH on digital twin applications for urban water infrastructure.
Languages
100%
Ukrainian
85%
English