Building infrastructure at the intersection of financial markets, distributed systems, and machine learning.
I’m a backend and machine learning engineer focused on building high-performance systems for financial infrastructure and intelligent applications.
My work sits at the intersection of:
- Distributed systems
- Quantitative finance
- Machine learning
- capital markets infrastructure
Currently building Oblyq — infrastructure for structuring and managing structured Debt in emerging markets.
I enjoy solving complex technical problems involving quantitative modelling, scalable backend systems, and intelligent automation.
-
Financial Infrastructure
- Structured credit
- securitization systems
- capital markets data pipelines
-
Backend & Distributed Systems
- microservices architecture
- high-performance APIs
- event-driven systems
-
AI Systems
- Deep Learning
- Reinforcement Learning
- multimodal ML pipelines
-
Quantitative Finance
- derivatives pricing
- risk modeling
- computational finance
- Structured credit infrastructure
- AI systems for financial markets
- Geometry of Optimization Models
- quantitative finance & derivatives modeling
- Chess
- Financial markets research
- Volunteering for health initiatives
"Build systems that make complex markets simpler."