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FelipeCardozo0/README.md

Felipe Cardozo

Quantitative researcher and engineer at the intersection of stochastic modeling, reinforcement learning, and market microstructure. Undergraduate at Emory University studying Human-Machine Interaction with concentrations in quantitative finance, computer science, and applied mathematics.

I build systems that turn mathematical structure into edge — from regime-aware portfolio allocation to real-time inventory automation via computer vision.


What I work with

Math & Finance: Stochastic calculus, rough volatility, martingale pricing, PDE methods (Fourier series, heat equation), regime-switching models, portfolio optimization, risk-neutral measure theory
ML & RL: PPO, actor-critic architectures, GNNs, LightGBM, spectral methods for dimensionality reduction
Systems: Python, C++, Redis, Docker, Azure, FIX protocol, NVIDIA Jetson edge deployment


Currently

  • Building out RAMPA's rBergomi volatility oracle with hybrid simulation schemes
  • Researching private credit structuring — Brazilian FIDCs and US ABS tranching mechanics
  • Coursework in PDEs/Fourier analysis, mathematical statistics, algorithm design, and data mining
  • Active research with PhD advisor (twice weekly) on quantitative modeling

philipcardozo.com · focardo@emory.edu · LinkedIn

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  1. Regime-Volatility-Arbitrage-Engine Regime-Volatility-Arbitrage-Engine Public

    Automated volatility arbitrage engine exploiting rough volatility mispricing in short-dated equity options. Combines Monte Carlo pricing with Gaussian HMM regime detection to trade only during calm…

    Jupyter Notebook 1

  2. Azure-Deployed-Interactive-Brokers-HFT Azure-Deployed-Interactive-Brokers-HFT Public

    A full-stack, low-latency trading infrastructure built on Azure using the Interactive Brokers API. Features include automated order execution, real-time risk controls, Redis-based tick streaming, a…

    Python

  3. Fourier-Based-Characteristic-Function-Methods-for-Risk-Neutral-Option-Pricing Fourier-Based-Characteristic-Function-Methods-for-Risk-Neutral-Option-Pricing Public

    High-performance Python engine implements Fourier-based option pricing, volatility surface calibration, and risk analytics. It features six stochastic models—including Heston and CGMY—ensuring mart…

    JavaScript

  4. RAMPA-Regime-Aware-Multi-Agent-Portfolio-Allocator RAMPA-Regime-Aware-Multi-Agent-Portfolio-Allocator Public

    Regime-Aware Multi-Agent Portfolio Allocator — a five-phase ML pipeline combining HMM regime detection, LightGBM alpha generation, deep rough volatility calibration, and PPO reinforcement learning …

    Jupyter Notebook

  5. Systematic-Portfolio-Optimization-MPT Systematic-Portfolio-Optimization-MPT Public

    Python library for mean-variance portfolio optimization — Black-Litterman returns, Ledoit-Wolf covariance, efficient frontier, risk parity, CVaR minimization, and walk-forward backtesting with tran…

    Jupyter Notebook

  6. Network-Enhanced-Underwriting-eXposure-Intelligence-System-NEXUS- Network-Enhanced-Underwriting-eXposure-Intelligence-System-NEXUS- Public

    NEXUS is an institutional-grade, AI-powered credit underwriting platform for Brazilian FIDC and US Asset-Backed Securities markets. It integrates 40+ data sources into a knowledge graph and ML pipe…

    Python