Equilibrium Energy · San Francisco, US (remote)

• Technical lead for production forecasting and optimization systems for energy trading in electricity markets.
• Built and deployed end-to-end decision engines: time-series forecasting, stochastic optimization, simulation.
• Built a proxy optimization engine that cut compute time 100x, enabling intraday strategy iteration and large-scale backtesting.
• Put experimentation and A/B testing into the production ML workflow instead of leaving it ad hoc.
• Strong contributor to the internal Python simulation framework the ML and trading teams both run on.
• Led and mentored a team of 4 ML scientists, while still building systems myself.
• Ran high-uncertainty R&D on scientific ML and generative AI for optimization and developer productivity.

TNO (Netherlands Organisation for Applied Scientific Research) · Delft, Netherlands

• Led applied R&D on infrastructure reliability and climate resilience with industry and government stakeholders.
• Built probabilistic risk models and extreme-event analysis pipelines for flood and wind exposure.
• Brought physics-informed neural networks into structural modelling for predictive maintenance.
• Ran multi-year infrastructure-reliability projects end to end, across engineering disciplines.
• Built scientific software in Python, Julia, MATLAB, and R for forecasting and uncertainty quantification.

PNGK · The Hague, Netherlands

• Co-founded a data-driven humanitarian tech startup built on satellite-based risk and impact analytics.
• Designed and shipped geospatial analysis tools for climate- and conflict-affected regions.
• Owned technical architecture, partnerships, and contract execution across deployments.

Budapest University of Technology and Economics · Budapest, Hungary

• Structural modelling and reliability analysis for nationally significant infrastructure.
• Taught and supervised applied research projects in structural engineering.