Luis P. Perez
AI/MLDataCompliance & RiskFintech
I turn complex, high-stakes domains into products and systems people can trust—from real-time risk decisioning and compliance platforms to ML detection and foundational data products. I’m now extending that background into GenAI and agentic systems through context engineering and hands-on building.
Databricks Certified
Context Engineer Associate
The throughline
AI is an evolution of the work—not a reinvention. Each chapter has added a layer of technical depth to the same core challenge: turning complex signals into useful, explainable action.
Selected impact
Six examples of the product judgment, technical fluency, and cross-functional leadership I bring to consequential systems.
Led the product organization that moved more identity and risk decisions into the real-time transaction flow, enabling eligible customers to send higher values while applying friction where risk justified it.
Xoom / PayPalDuring a major PEP database migration, identified a persistent entity identifier, formed a matching hypothesis, and validated it with a controlled batch—preventing a major analyst-review backlog.
Block / SquareSet the strategy, evaluated multiple models, independently analyzed score stability to address customer-experience concerns, and helped productionize a conversion-propensity model.
DisneyQuestioned a slow measurement approach and initiated a predictive proxy metric with Analytics, allowing paid-sharing experiments to reach decisions 75% faster.
DisneyPartnered with the CTO to standardize individuals, transactions, payment sources, and accounts—giving compliance teams a consistent foundation for monitoring, querying, and investigation.
Beam Solutions / JumioTranslate the needs of Data Science, ML Engineering, and Analytics into discoverable, reusable products spanning identities, accounts, profiles, and devices.
DisneyExperience
From provider APIs and payment orchestration to enterprise compliance platforms, ML-powered decisions, and data products for technical teams.
Identity data products; previously Paid Sharing detection. Own product strategy for foundational data assets used by DS, MLE, and Analytics. Previously led ML experimentation and enforcement strategy, including productionizing an ML-driven decision model.
Compliance technology. Joined as the first TPM in a growing organization and translated requirements across Compliance, Legal, Product, Operations, and Engineering into roadmaps for screening, monitoring, reporting, remediation, and case-management systems.
AML platform and financial data. Owned the company roadmap with a product designer, helping shape a standardized data model and a more usable investigation and query experience for non-technical compliance teams.
Risk, KYC, payments, and people leadership. Built and managed a four-PM Risk Product organization spanning real-time KYC, internal operations tools, bill payment, and platform modernization.
International payments integrations. Read provider API documentation, translated partner needs into repeatable technical requirements, and bridged commercial discovery with implementation before Xoom acquired the company.
AI, data & technical leadership
I work at the boundary between product, domain expertise, data, and engineering—hands-on enough to investigate, prototype, and reason about implementation choices.
My GenAI work builds on years spent shaping systems that retrieve signals, apply policy and models, manage uncertainty, support human judgment, and produce auditable outcomes.
I am an experienced technical product leader with ML, data, risk, and compliance depth—deliberately building toward GenAI product leadership, not claiming production GenAI experience I have not yet earned.
Technical builder
My independent automated trading and backtesting platform is where product judgment meets hands-on systems work: modular broker integrations, automated execution, performance analysis, parameter experiments, and ML prototypes.
Leadership
I’ve led PMs directly and brought executives, domain leaders, and technical teams together around decisions where customer outcomes, risk, and system realities collide.
Hired, developed, and managed up to four Product Managers across local and distributed teams.
Promoted a PM into people management and coached team members around individual strengths.
Served as Head of Product at an AML startup, prioritizing across the full product and engineering organization.
Led across Product, Engineering, Compliance, Legal, Operations, Data Science, MLE, and Analytics.
Posts
Writing about technical product craft, experimentation, automated trading systems, and what I learn while building.