Available for opportunities

Where Mathematics Meets Markets

Bridging quantitative rigour with economic intuition — from game-theoretic mechanism design to AI-driven market models and algorithmic strategy.

Sharpe 1.847
Alpha +3.2%
Max DD -8.4%
Win Rate 67.3%
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MATHEMATICS ▲ ∫∂x GAME THEORY ▲ Nash EQ MECHANISM DESIGN ▲ VCG PYTHON ▲ 3.12 BLACK-SCHOLES ▼ σ=0.2 COLLECTIVE WELFARE ▲ Pareto MONTE CARLO ▲ 100k sims CHESS ▲ ELO WASM ▲ compiled AI/ML ▲ transformer MATHEMATICS ▲ ∫∂x GAME THEORY ▲ Nash EQ MECHANISM DESIGN ▲ VCG PYTHON ▲ 3.12 BLACK-SCHOLES ▼ σ=0.2 COLLECTIVE WELFARE ▲ Pareto MONTE CARLO ▲ 100k sims CHESS ▲ ELO WASM ▲ compiled AI/ML ▲ transformer

Quantitative Foundations

A multidisciplinary toolkit spanning pure mathematics, economic theory, computer science, and applied finance.

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Mathematics

Calculus, linear algebra, real analysis, probability theory, and stochastic processes. Building models from first principles.

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Game Theory

Nash equilibria, mechanism design, auction theory, and strategic interaction. Analysing incentive structures in markets and institutions.

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Financial Modelling

Black-Scholes, Monte Carlo methods, portfolio optimisation, and risk quantification. Pricing derivatives and building trading systems.

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Computer Science

Data structures, algorithms, Python, JavaScript, WebAssembly. From theory to production-grade systems and API design.

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Economics

Micro and macroeconomic theory, market failures, public goods, externalities, and welfare economics. Policy analysis through a quantitative lens.

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Chess & Strategy

Competitive chess player. Pattern recognition, decision trees under uncertainty, and strategic thinking applied across domains.

WASM Quant Engine

Real-time Monte Carlo simulation and option pricing powered by WebAssembly — running natively in your browser.

quant_engine — wasm
$ init quant_engine.wasm // Loading WebAssembly binary... ⏳ Initialising... // Press a button to run a computation