Staff / Principal Frontend Engineer · Applied AI
Thoughtful interfaces.
Serious engineering.
I’m Jorge. I build frontend platforms and applied AI systems, and help engineering teams deliver both.
Currently Principal Member of Technical Staff · Oracle
Real application · guided still sequence · synthetic findings and metrics · no API or model calls.
AllyLab
Read the table: severity describes impact; status tracks the review workflow. These are separate decisions.
Choose a project · swipe on mobile
AllyLab, project 1 of 3
Principal Member of Technical Staff
08/2024 – 01/2026ESPN / DisneyLead Software Engineer
09/2015 – 07/2024American ExpressSenior Engineer II
15+ years in frontend and platform engineering, with experience at Oracle, ESPN / Disney and American Express.
01 / Enterprise experience
Build the product.
Strengthen the platform.
Hands-on delivery and technical direction, working with engineers, Product and Design.
ESPN / Disney · Lead Software Engineer
Product delivery, supported by a shared frontend platform.
ESPN’s sportsbook experience needed product features alongside reusable capabilities in a shared web platform.
Read the contribution story ↗My contribution
As Lead Software Engineer, I led sportsbook feature delivery and contributed TypeScript component injection, routes, context providers, React Server Components rendering and reusable libraries to the shared platform.
Delivered with the team
Shipped sportsbook features and reusable frontend capabilities with the wider engineering team.
02 / Independent work
Ideas, made inspectable.
Three projects where I connect frontend decisions with accessibility, agent coordination and verifiable results.
AllyLab
Frontend + AI
An accessibility review workflow across a React dashboard, API and CLI, with a companion Next.js website.
Conductor
Agent coordination
Tracks, dependencies and task-specific context make parallel agent work easier to inspect before execution.
Evalgate
Executable verification
Markdown work contracts connect acceptance criteria to executable checks and visible results.
03 / Engineering leadership
Teach the practice. Review the work.
At Oracle, I developed an AI engineering playbook and delivered practical training on AI fundamentals, prompts, APIs, agents and engineering best practices.
My approach pairs explicit acceptance criteria with reviewable work. The goal is to help engineers reason about the output, including when the evidence is missing.
Explore a public teaching exercise ↗
04 / The engineer behind the work
I care about the interface.
And what makes it work.
15+ years in frontend and platform engineering, with experience at Oracle, ESPN / Disney and American Express. I work across implementation, shared architecture and the practices that help teams maintain their software.
Private RAG work combines embeddings, scoped retrieval, structured generation, streaming and citations. Public project stories focus on inspectable behavior and make their evidence limits explicit. Explore the synthetic RAG walkthrough ↗
Frontend architecture
React · Next.js · TypeScript · JavaScript · HTML & CSS · SSR & React Server Components
Engineering quality
Accessibility review · Performance analysis · Unit & integration testing · E2E automation · API boundaries
Applied AI & leadership
LLM API integration · Retrieval with citations · Agent orchestration · Executable acceptance checks · Technical direction & mentoring
Let’s talk
Have a hard frontend problem?
I’m interested in Staff / Principal Frontend opportunities with applied AI depth.