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Profile

Technical product leader operating at the intersection of ML experimentation, system design, and AI-assisted development. I design modular Python systems deployed to production, build structured A/B experimentation frameworks, and use LLMs (ChatGPT, Gemini, Copilot, Goose) to accelerate architecture design, debugging, SQL analysis, and test generation.

Experienced translating risk signals into scalable decision systems across fintech, compliance, and real-time execution environments.

AI & Technical Systems

Automated Trading & Execution Platform (Independent Project | Production Deployed)

Built a modular real-time trading system from scratch integrating Schwab, IBKR, and Massive.io via a unified broker abstraction layer.

  • Refactored monolith into structured architecture and deployed to DigitalOcean with automated execution and stop-loss/profit logic.
  • Developed pandas-based backtesting engine generating trade logs, PnL, win rate, and Sharpe ratio.
  • Programmatically tested parameter variations and productionalized a profitable QQQ strategy based on sustained performance.
  • Implemented a v0 Random Forest classifier (80/20 split) using engineered technical indicators; evaluated precision/recall alongside trading metrics.
  • Use ChatGPT and Copilot to refactor architecture, generate pytest coverage, debug complex logic, optimize SQL workflows, and evaluate architectural tradeoffs.

More details: codeandcandlesticks.com

Experience

The Walt Disney Company (Disney+) — San Francisco, CA

Senior Product Manager, Paid Sharing Detection
2025 – Present

Lead ML experimentation and enforcement optimization initiatives within paid sharing detection.

  • Designed A/B and multi-variant testing frameworks for detection rule adjustments.
  • Defined predictive OEC metric reducing experiment time-to-learning by ~70%.
  • Conducted model score volatility analysis to assess UX stability and inform production rollout decisions.
  • Built real-time Datadog dashboards monitoring customer impact across CTV and mobile.
  • Balance enforcement strictness, churn, LTV, and sentiment using phased, data-backed rollouts.

Block (Square) — Remote

Technical Program Manager, BSA / Compliance
2020 – 2025

Bridged compliance, engineering, and business teams to refine customer screening systems and risk workflows.

  • Optimized LexisNexis API integration, reducing PEP false positives by >90% while maintaining compliance standards.
  • Performed SQL-driven analysis reducing case handling time by 10% and improving signal-to-noise ratio in screening outcomes.
  • Built structured case-time measurement framework to baseline operational efficiency.
  • Evaluated and designed API-based automation pathways to replace manual compliance workflows.
  • Used Goose and LLMs to analyze integration logic and accelerate technical investigations.

Beam Solutions (Acquired by Jumio) — San Francisco, CA

Head of Product
2019 – 2020

  • Increased adoption 30% and formalized product lifecycle processes.
  • Improved engagement through structured iteration and user validation.

Xoom / PayPal — San Francisco, CA

Senior Group Product Manager
2013 – 2019

  • Implemented Risk-Based Experience framework expanding sending limits tenfold.
  • Increased return usage 60% via barcode utility payments.
  • Drove 10% new user growth through international bill payment integration.

Technical Skills

Programming & Data: Python, SQL, pandas, Databricks, Snowflake, Datadog
AI & ML: Supervised ML experimentation, feature engineering, precision/recall evaluation, A/B & A/N testing frameworks
AI Tools: ChatGPT, Gemini, GitHub Copilot, Goose
Systems: API integrations (Schwab, IBKR, Massive.io, LexisNexis), OAuth workflows
Infrastructure: DigitalOcean deployment, cron scheduling, CI/CD
Domain: Fintech risk, compliance systems, detection pipelines, real-time execution
Languages: English, Spanish

Education

B.S. Electrical Engineering
Universidad Galileo

Product Management & Leadership Workshop
SVPG (Silicon Valley Product Group)

Contact

GitHub LinkedIn