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sukesan7/README.md

Sukesan Selvaraveendran

Computer Engineering @ Toronto Metropolitan University
Building deterministic trading infrastructure, market-data systems, and low-latency C++20 software.


Technical Focus

Trading & Simulation
Python Event-Driven Simulation Backtesting Execution Modeling Market Microstructure Monte Carlo Methods

Systems Engineering
C++20 Low-Latency Systems Binary Logging Deterministic Replay Multithreading Lock-Free SPSC Queues

Data & Tooling
Pandas NumPy Polars PyArrow pytest ruff mypy GitHub Actions

Hardware & Architecture
VHDL Quartus II Computer Architecture RTL Design


Featured Engineering

Deterministic, event-driven backtesting engine for intraday futures.

Python, Event-Driven Simulation, Execution Modeling, Market Microstructure

  • Built for causal integrity, with strict session handling and feature generation designed to prevent look-ahead and leakage.
  • Models regime-adaptive execution, including slippage, timing, and fill-time risk constraints to avoid unrealistic strategy results.
  • Designed for reproducibility, with CI-gated testing, determinism checks, and artifact-backed outputs for auditable runs.

🔹 Stratos

Deterministic price-time priority matching engine with oracle diff testing, replay, and verification harnesses.

C++20, Limit Order Books, Matching Engines, Low-Latency Systems

Under construction — Q1 2026.

  • Implements price-time priority matching with fixed-point prices, deterministic order flow, and fail-fast invariants.
  • Includes a slow-but-correct oracle engine plus seeded differential tests to compare fills and state across randomized event streams.
  • Being extended with binary replay, benchmark instrumentation, and adversarial hardening for correctness-first systems development.

🔹 Auro

C++20 market-data systems project for capture, compact binary storage, and deterministic replay of crypto exchange feeds.

C++20, Market Data, Boost.Asio/Beast, simdjson, Systems Experimentation

  • Captures live exchange market-data messages and stores them in a compact append-only binary format for offline analysis and benchmarking.
  • Separates network I/O from downstream processing using a lock-free queue architecture to keep ingestion paths responsive under bursty flow.
  • Supports deterministic replay for parser benchmarking, systems experiments, and repeatable downstream analysis workflows.

🔹 Aegis

Real-Time EMS Navigation, Triage & Algorithmic Routing Telemetry.

React, TypeScript, FastAPI, Python, OSMnx, NetworkX

  • Built as an operator-facing emergency response system combining routing, telemetry, dispatch visibility, and triage workflows.
  • Added algorithm-comparison and rerouting capabilities for scenario-based route evaluation and response planning.
  • Awarded York Region's Best Community Impact Hack at CTRL+HACK+DEL 2.0.

Engineering Interests

  • Deterministic simulation and replay systems
  • Market data capture, parsing, and execution infrastructure
  • Matching engines and exchange-style correctness testing
  • Latency-aware C++ systems and performance profiling
  • Event-driven architecture for finance and real-time analytics

Currently Building

  • Advancing Stratos into a hardened matching engine with replay, verification, and benchmark artifacts
  • Continuing to improve Meridian around correctness, execution realism, and research workflow quality

Pinned Loading

  1. meridian meridian Public

    Deterministic, event-driven backtesting engine for intraday futures. Features regime-adaptive execution, strict session handling, and causal integrity

    Python

  2. auro auro Public

    C++20 market-data recorder with binary log format, deterministic replay, latency/throughput benchmarking, and replay-based scanners.

    C++

  3. aegis aegis Public

    CTRL+HACK+DEL 2.0 Hackathon Winning Project for Team Instigate Café

    TypeScript 1 1