AEM / Strategy Research OS
A research operating system concept for organizing strategy ideas, experiment history, validation notes, and decision records.
- Research workflow
- AI-assisted analysis
- Strategy validation
Quant systems / AI infrastructure / low-level engineering
I build quantitative trading systems, AI-assisted research tools, and low-level software.
Focused on futures trading infrastructure, backtesting, risk controls, Palantir Foundry workflows, and systems-level engineering.
Featured projects
Each card links to a case-study page with placeholders for screenshots, results, and source links.
A research operating system concept for organizing strategy ideas, experiment history, validation notes, and decision records.
A framework direction for testing futures strategies with clear assumptions, risk controls, and repeatable validation paths.
Porting strategy logic from Pine Script into NinjaTrader/C# while preserving behavior and surfacing platform differences.
A monitoring concept for tracking trading system state, alerts, and operational health from a remote interface.
A low-level C project for tensor operations and neural network primitives with attention to memory and implementation mechanics.
A risk-control concept for filtering trading activity around scheduled macro events and other high-volatility windows.
Skills
About
I’m a technical builder interested in the intersection of financial markets, software systems, AI-assisted research, and practical automation. My work focuses on turning messy real-world workflows into structured systems: ingesting data, defining models, validating decisions, and building tools that can actually be used.
Contact
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