Computer Engineering @ Toronto Metropolitan University
Building deterministic trading infrastructure, market-data systems, and low-latency software.
Trading & Simulation
Python Event-Driven Simulation Backtesting Execution Modeling Walk-Forward Validation Monte Carlo Methods
Systems Engineering
C++20 Low-Latency Systems Binary Logging Deterministic Replay Multithreading Lock-Free Queues
Data & Tooling
Polars Pandas NumPy PyArrow pytest ruff mypy GitHub Actions YAML CLI Tooling
Hardware & Architecture
VHDL Quartus II Computer Architecture RTL Design
| Project | Description | Stack |
|---|---|---|
| Meridian | Deterministic, event-driven backtesting engine for intraday futures research, designed around causal integrity, strict session handling, and regime-aware execution modeling. | Python Polars Pandas NumPy PyArrow |
| Astra | End-to-end quantitative research, backtesting, simulation, and submission toolkit built for IMC Prosperity 4. Includes deterministic event-driven backtesting, hyperparameter optimization, walk-forward validation, execution stress testing, automated candidate selection, and a zero-dependency submission bundler through unified YAML config and CLI workflows. | Python YAML CLI Backtesting Optimization |
| Auro | C++20 market-data systems project for capturing exchange feeds, storing them in a compact append-only binary format, and replaying them deterministically for offline analysis, parser benchmarking, and systems experimentation. | C++20 Boost.Beast/Asio simdjson CMake Catch2 |
| Aegis | Real-time EMS navigation, triage, and routing telemetry MVP featuring live mapping, rerouting logic, and algorithm benchmarking. Built at CTRL+HACK+DEL 2.0, where it won York Region’s Best Community Impact Hack. | React TypeScript FastAPI Python OSMnx NetworkX |
