I'm a FinTech, quantitative finance, and algorithmic trading professional with 15+ years of experience across global financial markets derivatives, quantitative modeling, trading systems, and data‑driven applications.

My work centers on how global markets actually operate: across asset classes, exchanges, instruments, market structures, and changing market regimes. Over the years I've designed and backtested 50+ algorithmic trading strategies spanning mean reversion, trend following, volatility, and statistical arbitrage — combining real market knowledge with Python, quantitative methods, and data analytics to build working trading and analytical systems, not just theory.

Teaching is a passion I pursue alongside my industry work. More than 8,000 learners worldwide have taken my courses on quantitative finance, global derivatives, algorithmic trading, Python, data science, machine learning, and AI. I build every course from a practitioner's perspective  code‑heavy, hands‑on, and focused on real‑world global‑market applications, so you learn to build systems rather than only study concepts.

I've also delivered guest and industry sessions at leading universities, business schools, and exchanges, sharing practical perspectives on markets, quantitative finance, technology, and data‑driven decision‑making.

If you want to understand how global markets, derivatives, quantitative finance, algorithmic trading, AI, and data science come together in the real world, you're in the right place  let's build.