Gökhan Cebiroglu

WORK HISTORY

EDUCATION

ABOUT GÖKHAN CEBIROGLU

I build systematic trading strategies and production-grade trading infrastructure focused on extracting short-term alpha in commodities and macro markets. My work spans the full stack—from signal research to execution and analytics—with a strong emphasis on infrastructure that scales PnL discovery and resilience. I bring over a decade of experience translating ideas into real-world systems across futures, energy, and carbon markets. What I do best: Alpha signal development using reinforcement learning, sentiment models, and regime detection Scalable backtesting engines with realistic execution modeling Market connectivity & execution infrastructure, including TCA and resilience feedback loops AI/LLM integration to speed up research, unstructured data parsing, and strategy iteration Data pipeline engineering across tick-level and macro datasets Tech Stack: C++, Python, C#, R, distributed compute, time-series infra, custom LLM workflows Recently, I\'ve focused on improving strategy robustness in increasingly noisy macro environments—rebuilding signal frameworks and execution tooling to handle new volatility regimes. Open to collaborating with forward-thinking trading desks where R&D, infrastructure, and PnL come together.