Production trading infrastructure, ML-driven strategy optimisation, and risk management systems. 25 years shipping real software — from embedded C++ to live FX strategies executing right now.
Not backtests and Jupyter notebooks — systems that manage real positions, handle real risk, and run unsupervised.
Grid-based execution engines, dynamic ATR-based spacing, real-time basket position management. Full Python stack with MT5 integration, designed for multi-pair concurrent operation.
State-machine driven hedge management (diode hedges, anti-hedger recovery), position-count gating, and cooldown protocols. Built to prevent the catastrophic loss, not just optimise the profit.
Regime detection models, reinforcement learning strategy selection, Kelly-criterion position sizing with regime posteriors. PyTorch, TensorFlow, MLFlow — applied to financial time series, not generic data science.
End-to-end ML pipelines, model deployment, data platform architecture. From prototype to production at scale for enterprise clients across fintech, media, logistics, and retail.
Real-time data pipelines, time-series infrastructure, and scalable analytics platforms. AWS, GCP, containerised deployments.
System design for complex, latency-sensitive applications. Architecture reviews, team guidance, and the hard decisions that come from decades of shipping production software.
25+ years in production software engineering — from embedded systems and real-time C++ to cloud-scale Python, ML pipelines, and now algorithmic trading systems. MSc background in physics.
I currently design and operate live algorithmic trading strategies across multiple FX pairs — grid-based systems with production-grade risk management including state-machine hedge controllers, regime-conditional sizing, and dynamic grid spacing. My edge is in position and basket management, not prediction accuracy.
On the AI/ML side, I build regime detection models, RL-based strategy selectors, and ML pipelines applied specifically to financial time series — work that sits at the intersection of quantitative finance and production ML engineering.
At StarBrain AI, I take on consulting and contract work that keeps me sharp: trading infrastructure, ML systems, and technical architecture for companies that need senior engineering depth without the overhead.
Open to contract and freelance work in trading infrastructure, ML systems, and production AI engineering. Available through StarBrain Media BV.