Detailed profile
Experience
Product and technical leadership across fintech, risk decisioning, compliance technology, ML-powered detection, data products, and context engineering.
I’m a technical product leader who has spent my career translating complex business and regulatory problems into products, platforms, and decision systems. My experience spans international payments, real-time KYC and risk, AML technology, ML-powered enforcement, and foundational identity data products for Data Science, ML Engineering, and Analytics.
Experience
The Walt Disney Company
Identity Data Products · 2026—Present
- Own product strategy and roadmap for reusable data products spanning identities, accounts, profiles, and devices.
- Gather requirements from Data Science, ML Engineering, Analytics, and other downstream consumers, then sequence delivery with Data Engineering.
- Use Databricks Unity Catalog, notebooks, SQL, and Python for data exploration and lightweight analysis.
- Focus the roadmap on making core assets more logical, discoverable, understandable, and useful for analytics and model development.
Paid Sharing Detection · 2025—2026
- Set direction from heuristic-only enforcement toward ML-based decisioning, evaluating four models and helping productionize a conversion-propensity model.
- Independently analyzed model-score volatility to evaluate the risk of inconsistent customer experiences; validated the findings with ML Engineering and helped unblock an experiment that led to production use.
- Initiated a predictive experiment metric with Analytics that matured in roughly 3 weeks rather than 12, enabling decisions 75% faster.
- Challenged aggregate global results when one market dominated the sample, then implemented region-specific experiments that revealed meaningful performance differences and avoided an unsupported global rollout.
Block / Square
- Joined as the first Technical Program Manager while the Compliance Technology organization was being built.
- Worked across Compliance, Legal, Product, Operations, and Engineering on customer monitoring, transaction monitoring, regulatory reporting, quality control, remediation, and multi-jurisdiction launch requirements.
- During a LexisNexis PEP database migration, identified a persistent entity identifier, proposed a suppression configuration, and experimentally demonstrated approximately 90% improvement in avoiding resurfaced alerts while maintaining compliance requirements.
- Spearheaded a case-management proof of concept that let Operations experience a purpose-built adverse-media workflow, creating alignment with Engineering around a modern modular platform.
Beam Solutions / Jumio
- Owned prioritization and roadmap for an AML technology startup, working as the sole PM alongside a product designer and a small product/engineering organization.
- Partnered with the CTO to design a common financial data model organized around individuals, transactions, payment sources, and accounts.
- Led a redesign that brought the core data entities into a coherent investigation view and replaced technical query syntax with guided construction for non-technical compliance users.
- Established a formal Jira-based release and approval process aligned with SOC 2 change-management controls.
- Continued at Jumio after its acquisition of Beam, focused on integrating transaction-monitoring capabilities into the broader suite.
Xoom / PayPal
- Built and managed a distributed Risk Product organization of up to four PMs spanning real-time KYC, internal risk tools, bill-payment experiences, and platform modernization.
- Hired and developed PMs, conducted performance reviews, promoted a PM into people management, and led teams across countries.
- Helped transform a historically constrained $3,000 transfer experience through risk-based, progressive KYC and synchronous decisioning—allowing eligible customers to send higher values with friction applied according to risk and compliance needs.
- Led product strategy at the intersection of customer risk scoring, transaction context, identity signals, rules, compliance thresholds, and customer experience.
- Supported integration of BlueKite’s bill-payment capabilities and migration of parts of the legacy Send Money platform toward independently deployable services.
- Enabled a customer self-service legal-name update flow that removed an unnecessary Customer Service dependency while preserving identity requirements.
BlueKite
- Operated at the intersection of partnerships, product, and engineering for an international bill-payment fintech startup.
- Read provider API documentation, participated in commercial and technical discovery, and converted disparate partner documentation into standardized implementation requirements.
- Managed an engineer and helped the small team integrate payment and utility providers faster and more consistently.
Independent technical project
Automated trading and backtesting platform
A production-deployed personal system developed primarily in Python. It has included modular integrations with Schwab, Interactive Brokers, and Massive.io; automated execution; stop-loss and profit logic; pandas-based backtesting; trade logs and performance analysis; parameter experimentation; and a Random Forest prototype using engineered technical indicators.
The project follows a repeatable product-development loop: hypothesis → backtest → experiment and iterate → productionize → monitor.
Read more at Code & Candlesticks or explore my GitHub.
Technical depth
| Area | Proficiency |
|---|---|
| Python / pandas | Working: scripts, notebooks, analysis, backtesting, and AI-assisted code review |
| SQL | Intermediate: data exploration, joins, data models, and validated AI-assisted query development |
| APIs | Strong product and technical fluency: documentation, authentication patterns, consumption, and integration requirements |
| Databricks | Working product/data user: Unity Catalog, notebooks, SQL, and data exploration |
| Snowflake | Working product/data user |
| Datadog | Working: real-time product and experiment monitoring dashboards |
| ML products | Experiment design, model rollout decisions, stability analysis, precision/recall concepts, and customer-impact judgment |
| Context engineering | Certified grounding in retrieval, memory, tools/MCP, compression, and multi-agent or long-horizon architectures |
Leadership
- Managed up to four direct Product Managers across local and distributed teams.
- Hired, developed, reviewed, and performance-managed PMs; promoted a PM into people management.
- Served as Head of Product with responsibility for a full company roadmap.
- Presented regularly to VP and C-level leaders and at company all-hands.
- Led across Product, Engineering, Compliance, Legal, Operations, Data Science, ML Engineering, Analytics, and Data Engineering.
Education & development
B.S. Electrical Engineering
Universidad Galileo
Databricks Certified Context Engineer Associate
Earned July 2026 · Valid through July 2028
Verify credential ↗ · Certification overview