Education
Arizona State University
Degrees: BS Computer Science, BS Mathematics
GPA: 4.00
Expected: May 2026
Coursework
Mathematics
Statistics & Applied Probability
Quantitative Finance
Computer Science
Machine Learning & Computing
Research
Engineered Rough Neural SDE for non-Markovian volatility surfaces (H≈0.1); implemented Davies-Harte algorithm for O(N log N) fGn generation. Trained RL agent achieving 69% CVaR reduction vs Black-Scholes.
Impossibility Theorem for Risk-Constrained Kelly Betting
2025Proved bounded maximum drawdown and optimal growth are mutually exclusive in infinite-variance environments. Designed Volatility-Augmented HMM reducing regime detection lag by 90%.
Implemented hierarchical model using Hamiltonian Monte Carlo (NUTS) for covariance estimation with LKJ priors. Superior tail-risk capture vs Mean-Variance optimization.
Experience
AI/ML Development Intern
Sep 2025 – PresentEngineered stochastic time-series models (ARIMA, LSTM) reducing prediction error by 15%.
CS and Math Tutor
Aug 2025 – Jan 2026Tutored 12+ undergraduates in Calculus and Algorithms, improving exam performance.
Applied Statistics Research Intern
Jun 2025 – Sep 2025Box-Cox transformations for high-variance economic data, improving predictive accuracy by ~12%.
AI Developer Intern
May 2025 – Jun 2025Deployed RAG pipelines indexing 50K+ records, reducing retrieval latency by 30%.
Payments Automation Intern
Oct 2024 – May 2025Optimized SQL queries for 1M+ rows, increasing anomaly detection speed by 25%.
Biocomputing Scholar
Oct 2024 – Apr 2025Engineered Bayesian inference models for network censorship detection with UQ methods.
Barrett College Fellow
Aug 2024 – Jan 2025Led motif census experiments across 10+ complex networks for publication efforts.