I aspire to design and build complex systems that solve real-world problems. My work spans financial tooling, open-source, and experimental interfaces.
First exposure to the world of price action, market structure, and the mechanics of financial markets.
Began writing code in C++, building an early foundation in systems-level thinking, memory management, and computational problem solving.
Launched dropshipping websites and produced content that generated over 700,000 views on YouTube. The businesses failed, the lessons didn't.
A deep curiosity for mathematics led to order flow analysis, which opened the door to quantitative finance and artificial intelligence. Contributed to Pygmalion AI during its pre-alpha stage.
Began building Aegis: a Rust-based automated trading algorithm using advanced signal processing and deep learning to predict profitability while filtering volatile regimes.
After graduating as school valedictorian at 17, now focused on advancing proprietary trading systematically, mastering quantitative engineering and C++, and launching Verifiko as a fully functional MVP.
Contributed to the development of a zero-install, browser-based BYOK agentic AI IDE utilising the WebContainer API and xterm.js to provide a persistent, Linux-like terminal environment without local dependencies. Scaled the project to 150+ GitHub stars.
A community-and-utility-first business addressing discrepancy in local Australian funding. Connects startups with investors through short-form video pitches, dynamic equity distribution toolkits, and validated community reviews to drastically reduce pitch times and secure fast crowdfunding.
An automated trading algorithm utilizing advanced signal processing to filter out market noise and deep learning (gemma 4 31B, not trained on specialised datasets) to predict profitability. Ignores volatile regimes with significant fat tails (>3σ).
"Mathematics is the language in which God has written the universe. Without it, one wanders about in a dark labyrinth. With it, every star becomes a word, every curve a sentence, and every law of nature a paragraph in a grand, infinite book. To study mathematics is to learn to read this book, to begin to understand the structure and harmony of creation itself."
— Galileo Galileifirst-principles thinking driven by empirical data. I believe that quantitative rigor is a central component of modern value creation.
Whether it be entrepreneurial decision making or quantitative trading, Applying statistical modeling to all measurable events, predictive outcomes and processes to generate actionable insights is key.
Fast action rooted with constant feedback loops and quick execution is foundational.
Designing fault-tolerant, scalable backend infrastructure optimised for both latency and versatility.
Relentless iteration, the ability to pivot, and risk management are not only trading lessons but also lifelong mottos.
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Leveraging a hybrid discretionary-quantitative approach. Developed a proprietary Bayesian probability model to score daily market setups, removing emotion from execution and yielding high-conviction, profitable trade outcomes.
Collaborated in the development of a conversational AI model, engineering core system prompts and designing specialised, pre-configured AI models tailored for specific use cases. Published chat bots received 100k+ interactions.
hmu to build cool stuff.