The Team
Three disciplines, one operating loop: investment strategy, machine learning research, and platform engineering — built and run by a single team against a single system.
Capital Allocation · Portfolio Construction · Risk Oversight
Investment Strategy & Risk
- Portfolio construction with explicit exposure and concentration limits
- Position sizing under drawdown and volatility regimes
- Final approval authority on every capital deployment
- Asymmetric outcome design and downside discipline
Formal training in finance with a risk-first orientation.
Machine Learning · Modeling · Live Validation
Quantitative Research
- Time-series feature engineering across multiple horizons
- Online learning and regime classification
- Backtest infrastructure with strict leakage controls
- Live model validation against expected behavior
- Drift detection on inputs and signal quality
Background in frontier machine learning research, with applied focus on deep learning, online adaptation, and time-series modeling for live capital.
Data Systems · Execution · Infrastructure
Platform Engineering
- Proprietary data ingest and market representation pipeline
- Signal-to-execution platform with end-to-end reconciliation
- Operational risk controls and approval workflow
- Scalable infrastructure built for low-latency systematic trading
Deep background in software engineering and high-throughput data systems.
Principal backgrounds are shared with qualified investors during due diligence.