Quant Developer | C++ Low-latency Trading Developer | Java Backend Developer
My story into quantitative systems engineering started from financial markets. I began as a retail trader trading the forex market manually, but my curiosity eventually shifted from simply placing trades to understanding how institutional trading systems and algorithmic infrastructure are actually built behind the scenes. That curiosity led me into quantitative finance, low-latency systems engineering, market microstructure, and backend infrastructure development.
Over the past several years, I have independently built trading systems, market analytics platforms, replay infrastructure, and execution-oriented tooling using C++, Rust, Python, Java, and MQL5. I enjoy solving difficult systems problems involving market data ingestion, orderbook synchronization, event-driven architectures, replay consistency, observability, execution reliability, and scalable backend design.
Some of the projects I have built include a multi-language orderflow engine with a Rust core runtime, a regime-aware quantitative trading stack integrating Hidden Markov Models and event-driven backtesting, and a production-grade Point & Figure analytics system supporting multiple programming language bindings.
What makes me unique is that my background has been largely self-driven from Nigeria, where institutional quantitative trading environments are still relatively limited. Despite that, I intentionally focused on globally relevant infrastructure and quantitative engineering problems, continuously learning through building real systems rather than only studying theory.
I am currently looking for opportunities within quantitative trading, digital asset infrastructure, backend engineering, and low-latency systems development where I can contribute meaningfully, collaborate with experienced engineers and traders, and continue growing within a high-performance technical environment.
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