Frontend Technical Lead / Backend Software Engineer

Next.js, Azure, proprietary frameworks and libraries

• Served as Frontend Technical Product Owner (TPO) and Tech Lead for a cross-functional POD of 4 engineers, defining technical acceptance criteria and aligning engineering execution with global product strategy for two internal products used by 100+ brand/country teams.
• Architected two micro-frontend platform with reusable component libraries and a design system, increasing approval throughput 3x and cutting decision latency by 40% through real-time metrics and streamlined workflows.
• Reduced production incidents by 45% and MTTR by 30% by introducing full E2E testing, automated test generation and CI/CD pipeline improvements aligned to SLOs and error budgets.
• Achieved 80%+ mutation test score, full unit coverage and stable daily deployments; optimized CI/CD pipelines to reduce build times by 25% and improve Developer Experience (DX).
• Introduced an E2E framework (Modular Cucumber integrated with Cypress → Playwright aligned with our proprietary NextJS fork and proprietary React libraries)
• Mentored 2 engineers, drove code-review standards and architecture Decision Records (ADRs) improving release confidence.

Technical Lead

Next.js, NestJS, AWS/GCloud and Auth0

• Led a 3-person team and architected the rewrite of gindumac.com and a new Bevmaq ecommerce, plus an internal CRM/tracking tool using micro-services and Domain-Driven Design (DDD).
• Migrated to Next.js with Server-Side Rendering (SSR) and Static Site Generation (SSG), improving Core Web Vitals (LCP) by 40% and organic SEO traffic by 120% within months after launch.
• Reduced build/infrastructure costs by 35% and average page load by 48% through caching strategies, image optimization and edge delivery; conversion rate improved 14%.
• Cut incidents by 60% through TypeScript, Sentry telemetry and observability and comprehensive E2E tests; established daily deploys and stronger CI/CD pipelines.
• Built a reusable ecommerce framework supporting 23 TLDs with translated URLs/content and approval workflows, cutting time-to-market for new sites and reused across 5 high-traffic properties.

Software Engineer

Next.js (TypeScript, Cypress, Jest), Symfony (DDD, PHPUnit), Material UI, Tailwind CSS and AWS

• Built tracking systems and dashboards that increased campaign ROI by 22% and reduced reporting latency by 70% using event-driven architecture and caching strategies.
• Created a library of reusable frontend components and automated tests (Cypress, Jest) reducing regressions by 50% and accelerating delivery across cross-functional teams.
• Integrated backend tracking and APIs with Symfony and automated deployments to AWS; added observability with Sentry to quickly triage issues and meet SLAs.
• Designed API versioning and executed complex data migrations into a new database schema to support hundreds of millions of writes per day for marketing analytics (click tracking).

Software Engineer

React, Vue, Symfony and GCloud

Contributed to smart city solutions, internal systems and dashboards for the renting of electric bikes and scooters.

Full-stack Developer

React, Symfony and GCloud

Won a public competition to build a web app for internal operations and maintenance of public parks and gardens in Catalonia (PIJ), still in production to this day.

Full-stack Developer

React, Laravel and Bootstrap

Built and maintained multilingual web solutions for a translation company and internal operations.

GitHub Copilot, Copilot Workspace, Cursor, Claude Code, AI code review agents

• Ship features end-to-end with agentic coding assistants — from spec to tests to deployment — while keeping human review as the quality gate.
• Automate test generation and E2E suite authoring with AI agents, raising mutation-test coverage to 80%+ and cutting manual test-writing time.
• Use AI pair-programming for refactors, migrations and boilerplate, freeing time for architecture and code review.

AI PR reviewers, automated test generation, Copilot in CI

• Integrated AI-powered PR review and automated test generation into CI/CD, reducing review latency and catching regressions earlier.
• Leveraged AI to generate and maintain Playwright/Cypress E2E specs aligned with SLOs and error budgets.

AI doc generation, ADR drafting, commit/PR summarization

• Used AI assistants to draft Architecture Decision Records (ADRs), API docs and release notes, improving knowledge sharing and onboarding.
• Automated commit and PR summarization to keep changelogs accurate and reduce context-switching for reviewers.