Portfolio overview

About Me

This portfolio documents my jurisdiction across systematic trading, statistical research, and high-performance engineering. It is a map of the systems I build: strategies, models, and the infrastructure that carries them from hypothesis to production.

I focus on building resilient, maintainable and explainable pipelines that survive real-time partially observable systems. The work here blends rigorous statistical practice with performance engineering, exposing the full stack of my skill set.

Statistics & Modeling

Research directions that define how I extract signal, measure robustness, and engineer data pipelines with traceable statistical guarantees.

  • Feature Extraction, Residualization, Whitening
  • Selection, validation, and model hygiene
  • ML/DL architecture & topology
  • Adversarial resistance and stress testing

Programming & Systems

Languages, tooling, and performance disciplines used to turn models into live, capital-efficient execution systems.

  • C++, Bash, ASM, Julia, Python, Rust
  • TypeScript, React, CUDA, SQL, Java
  • Compiler Optimization: branch predictors, SIMD (SSE, AVX)
  • Project Hygiene: Concurrency, cache-friendly layouts, cache-miss control