Disney Streaming • Fraud Services

• Build backend services and operational tooling for fraud decisioning, signal quality, and abuse-response workflows.
• Shipped direct-ban and threshold-automation paths that reduce manual overhead and improve response speed on targeted cases.
• Established Apache Flink groundwork for richer event context, better downstream signal handling, and lower false-positive pressure.
• Improved network and identifier handling for abuse patterns including IPv6 interface-identifier evasion.

Job Pool ecosystem + developer tooling

• Built Job Data Pool, the canonical data infrastructure layer for the Job Pool ecosystem, including a public API, OpenAPI contract, JSON Schemas, versioned datasets, and RFC-backed domain boundaries.
• Built Me Wanna Job as a consumer-facing layer on top of the shared job data plane, focused on query-first exploration and lower-noise job discovery.
• Built and published cider-cli, a Python CLI for CIDR visualization and network-space exploration designed for fast operational analysis.

Rapid Prototyping and Cross-Functional Delivery

• Built product concepts across browser extensions, recommendation flows, and collaborative web apps with an emphasis on turning loosely scoped ideas into testable software.
• Worked across interface design, technical implementation, and cross-functional delivery on projects including Local Poach, Ecoswap, and Rocket Recipes.

Canonical job data API, contracts, and datasets

• Publishes the public `/v1` API, OpenAPI 3.1 contract, JSON Schemas, versioned datasets, and architecture RFCs for the Job Pool ecosystem.
• Defines domain boundaries so developer integration, transparency surfaces, and consumer search products do not collapse into one mixed-purpose site.
• Frames job data access as a cache-first, contract-first infrastructure problem instead of a collection of hidden one-off scrapers.

Consumer job discovery product

• Consumer-facing layer built on top of pooled listings data, with query-first exploration and product surfaces tuned for people actually applying.
• Explores job-fit, resume, and CSV-driven workflows without making the consumer site carry the whole infrastructure burden.

Python CLI for CIDR Visualization

• Visualizes large network ranges and CIDR hierarchies for faster anomaly triage and investigative workflows.
• Designed for scriptable use, quick interpretation of large address spaces, and operationally useful drill-down paths.

San Diego State University

• Graduate program centered on data systems, analytics, and large-scale data workflows.

University of California San Diego

• Undergraduate foundation in mathematics and computer science, with a particular interest in functional programming and its relationship to category theory.