March 2025 - Present

Managing Director, Head of Machine Learning, AI, and Quantitative Research

TWG Global AI - Santa Monica, CA

Lead multi-disciplinary AI and quantitative research initiatives across $55B investment portfolio spanning financial services, insurance, sports, and emerging technologies.

  • Built and managed cross-functional data science organization serving 7 business units
  • Architected enterprise MLOps infrastructure and deployment pipelines
  • Delivered executive-level strategic insights to C-suite leadership
  • Built and hired team of 12+ data scientists from junior to senior level
  • Directed research and ML model development on 25+ machine learning and analytics projects
July 2022 - March 2025

Senior Manager, Data Science

Capital One - Remote

Led Enterprise Economic Research and Analysis team as senior technical data scientist and head ML model developer for risk management simulations.

  • Developed ensemble ML model integrating credit risk, customer valuation, attrition, and balance models
  • Built proprietary analytics simulation app modernizing risk management across card portfolios
  • Created analytic engine for economic customer sensitivity analysis
  • Integrated macro stress scenarios into ML platform
January 2019 - July 2022

Senior Data Scientist

Tala - Santa Monica, CA

Global fintech providing instant consumer loans to underbanked populations through ML-powered smartphone underwriting across Kenya, Philippines, Mexico, and India.

  • Managed full stack development of credit underwriting models in all core markets
  • Built Automated ML Pipeline with Amazon SageMaker, Docker, and AirFlow
  • Autonomously responsible for modeling work in three core markets through production deployment
  • Managed Machine Learning Engineering and Big Data solutions for predictive modeling team
  • Translated data insights into key business understanding presented to executives
2008 - 2019

Senior Quantitative Researcher

Surlamer Investments, formerly Picoco - Newport Beach, CA

Private buy-side investment firm investing across equities, fixed income, commodities, and real estate.

  • Led quantitative research for derivative strategy hedge fund
  • Developed internal risk model for U.S. equity derivatives with 95% accuracy in loss prediction
  • Conducted asset valuation, portfolio optimization, back-testing, and risk management analysis
  • Built regression models for stock selection and portfolio monitoring using Bloomberg API

Technical Expertise

Machine Learning & AI

TensorFlow PyTorch scikit-learn XGBoost Ensemble Methods Time Series Analysis

Programming & Data

Python SQL R pandas NumPy scipy

MLOps & Infrastructure

SageMaker Docker Kubernetes Azure ML AirFlow ETL Pipelines