Architecture, secure delivery and AI engineering infrastructure.
Experience
AI engineer who works from first principles, a habit from nanotechnology engineering. I orchestrate AI agents and generative workflows to deliver with a researcher’s depth and an architect’s precision; as engineering lead of a production fintech platform, I took the team to 85% verifiable AI-assisted commits with 90.7% API test coverage.
Jobs
PwC México
Senior Fullstack AI Software Engineer · Remote
— Present
Technical lead of an international team delivering a fullstack Oracle project.
Owned code quality across frontend and backend services: resolved Veracode and SonarQube findings and became a Veracode Level 3 Verified Continuous Security Champion.
Ran code reviews and strategic refactoring to improve maintainability, readability and performance.
Freelance / Contract
Engineering Lead, AI Engineer & Designer · Remote
— Present
Production fintech platform — Engineering Lead for a team of five: 228 API endpoints across 60 controllers, 16 domain entities and 182 database migrations (TypeScript, Node, TypeORM, SQL, Next.js).
Production fintech platform — Built the AI engineering infrastructure the team adopted: a custom agent harness of 327 skill, agent and rule files for agentic coding workflows, reaching 85% verifiable AI-assisted commits.
Production fintech platform — Held API test coverage at 90.7% of statements with CI gates of 80% global and 90/85 per file on fintech surfaces: transfers, commissions, accounts, authentication, authorization and RBAC/tenancy.
Production fintech platform — Built release engineering from zero (annotated tags, promotion PRs, drift-guard CI): one release every 4.6 days and a median PR lead time of 2.4 hours across 443 PRs (DORA Elite band).
Production fintech platform — Led the migration to AWS ECS Fargate across three environments, the IAM/AuthZ rewrite with CASL, a TypeORM upgrade with 170+ migrations and Next.js 16; authored 248 of 309 architecture decision records.
Crypto wallet product — Engineering lead end to end: architecture, implementation and visual identity.
AI automation clients — Design and deploy agentic automations on Claude, connected through MCP to Gmail, Google Drive and WhatsApp Business, with scheduled routines and human approval before anything runs.
AI automation clients — Built a reusable Claude plugin (skills, tool guards and an execution journal) that runs discovery, automation specs and content production the same way for every client.
AI automation clients — Ran the technical assessment and the technical-lead selection for a factoring fintech.
Since 2015: full-stack development and design from concept to launch for startups and national and international companies, leading small teams when needed.
BlueOptima
Frontend Software Engineer
—
Took features from analysis and documentation to production with no major bugs, on accurate estimates.
Resolved production-breaking bugs, prevented critical regressions and supported client-specific issues on a legacy Angular codebase.
Kept quality and compliance with industry standards through unit testing and code review.
Inbright & Xolvex
Frontend Software Engineer
—
Led a cross-functional team designing and implementing the frontend architecture behind several product launches.
Managed analysis and task delegation, delivering on time and within budget.
Partnered with backend engineers to take new products from idea to launch.
Education
Instituto Tecnológico y de Estudios Superiores de Occidente
Nanotechnology Engineering
—
Managed a nanotechnology laboratory, operating SEM, XPS, AFM and sputtering equipment.
Used Python and ORCA to simulate molecular systems and particles.
Synthesized and characterized nanomaterials, including carbon nanotubes and silver and copper nanoparticles.
Professional Practices
UDG - CINVESTAV
Simulations of organometallic molecular systems and a web app for data analysis
—
Simulated organometallic molecular systems with the ORCA ab initio software.
Built a web app to analyze the simulations: comparison of initial and final geometries, orbital-energy visualization, optimization detection and comparative tables between runs.
Casa y Terrenos
Mathematical modeling for business plans and projects using machine learning
—
Built a machine-learning solution to develop business plans and projects.
Implemented a property scoring system based on data quality.
Managed MySQL and MongoDB databases and a server over SSH tunneling with Python.
