Financial markets & HFT
I study quantitative methods for financial market prediction and evaluate forecasts against historical data. My research interests include high-frequency trading (HFT).
I research financial markets and build self-learning systems.
My work focuses on quantitative analysis of financial data and the development and evaluation of predictive models.
Current research
LLMs and financial markets
I study how large language models may influence financial markets and examine their potential and limitations in forecasting market dynamics.
Autonomous self-learning systems
I develop autonomous systems that make decisions and improve without human intervention. They evaluate the outcomes of their actions, learn from mistakes and adapt their strategies through accumulated experience.
Seismology
I work on processing, analyzing and interpreting seismic data. My focus is on the structure of seismic signals, identifying meaningful patterns amid noise and assessing uncertainty in the interpretation of observations.
Professional experience
- Present
Qapton Research
Chief Research Scientist
Research on financial market prediction and development of self-learning systems based on large language models.
- 2013–2026
VEON / Beeline
Head of AI / RPA
Robotic process automation; AI product and project management.
- 2007–2013
AOL / Winamp, VirusTotal, COWON
Software localization & communities
Away from work
My interests include psychology, philosophy, linguistics and classic literature. I also enjoy travelling. Places I’ve visited:
- Thailand
- Türkiye
- Indonesia
- Hong Kong
- China
- Sri Lanka
- Singapore
- Malaysia
- Vietnam
- India