Mexico City, Mexico
I build AI systems that actually ship — and I lead the teams that build them. Over the past few years I've worked at the intersection of agentic AI and technical leadership: designing production AI systems from scratch as a Founding Engineer, growing an engineering team from 0 to 5, driving architectural decisions, and aligning product and engineering around a shared technical direction. On the AI side, my focus is on agentic systems that hold up in production — RAG pipelines handling thousands of daily conversations, multi-LLM orchestration across OpenAI and Gemini, and model optimization on Azure AI Foundry. I've led a full cloud migration from Azure to GCP that cut costs and eliminated recurring downtime, and I've learned that the hardest part isn't building the AI feature — it's integrating it into a team's workflow in a way that actually sticks. Open to Senior AI Engineer, Tech Lead, and Engineering Manager roles — ideally where both technical depth and team leadership are part of the job.
Returned in an advisory capacity to lead AI integration across engineering and product. Driving adoption of AI-native development workflows — including agentic code review and Claude Code — to accelerate delivery and reduce manual overhead across the engineering team. Optimizing the candidate-facing conversational AI, improving response quality and reducing inference costs through prompt engineering and model selection strategies on Azure AI Foundry — including active model upgrades across GPT and Gemini. Partnering with the CPO on product direction, bringing a technical lens to prioritization and roadmap decisions.
Building AI agents for hotels that convert conversations into bookings and automate guest support 24/7 across messaging channels. Learn more at www.visitoai.com - Designed and implemented production-grade AI systems for hospitality conversational agents handling hundreds to thousands of daily conversations — including RAG pipelines, multi-LLM orchestration (OpenAI + Gemini), tool calling, embeddings (MongoDB Atlas Vector), and advanced prompting strategies. - Built the full conversation escalation flow with real-time push notifications to route frustrated users to human agents, and developed a frustration-detection module that scored conversation sentiment periodically to proactively surface at-risk interactions. - Architected and scaled the core backend platform using Node.js and TypeScript, owning REST APIs, webhook integrations (Meta, Stripe), and real-time messaging workflows. - Rebuilt the real-time communication layer into an event-driven architecture using RabbitMQ and WebSockets, improving reliability and throughput under concurrent traffic. - Led a full cloud migration from Azure to GCP — moving all RabbitMQ consumers, webhook endpoints, and the core API to dedicated cloud infrastructure — significantly reducing costs and eliminating downtime. - Joined as the sole founding engineer reporting directly to the CTO, with full ownership of technical and architectural decisions. Grew the engineering team to 3 as the platform scaled, playing a key role in taking Visito from early stage to a successful production product in the hospitality AI space.
- Led the technical design and delivery of a DEI-focused AI talent matching platform, owning backend architecture, data models, and decision logic using Node.js, TypeScript, PostgreSQL, and the OpenAI API — shipped to production and actively used by hundreds of candidates and companies. - Designed and implemented the core AI matching algorithm using LLM-based prompting and fine-tuning strategies to generate relevance scores and reduce bias in candidate–job matching, with bias-reduction as the core business differentiator. - Architected event-driven matching workflows using RabbitMQ and schedulers, processing hundreds to thousands of candidate–vacancy scores per day in nightly batches — optimized to control OpenAI API costs while maintaining throughput. - Identified and led the migration from Firebase to PostgreSQL after detecting performance bottlenecks, designing multiple REST APIs with Node.js (Express) and TypeScript to support greater scalability and a solid reporting foundation. - Led the ground-up rebuild of two separate platforms (candidate and employer) from a slow CRA into Next.js — purpose-built for each user type, with SSR, strong Web Vitals, SEO, and mobile accessibility as core requirements. - Grew and led an engineering team from 0 to 4 — participating in hiring, establishing CI/CD pipelines, TypeScript standards, PR/code review processes, and Scrum, while remaining a 50/60% hands-on contributor and leading cross-functional planning with product and business stakeholders.
Senior Software Engineer driving platform architecture, system design, and full-stack delivery for a high-growth SaaS in the hospitality space. - Proposed and architected a micro-frontend platform using Webpack Module Federation and Next.js — validated through a proof of concept before full adoption — enabling independent deployment across all product domains and significantly improving development velocity and release autonomy across the entire engineering team. - Designed and implemented a WYSIWYG site customization engine allowing hotel operators to apply global branding changes with real-time preview, solving non-trivial state synchronization challenges using Zustand with a publish-to-live model. - Partnered closely with backend teams on API design and data architecture, consuming and co-designing GraphQL (Apollo) APIs for high-traffic workflows including web check-in and operational dashboards used by hundreds of hotels — eventually contributing full-stack with NestJS on the backend. - Led the modernization of the core web platform, migrating critical applications to TypeScript and optimizing dependency management to improve runtime performance, maintainability, and developer experience. - Acted as the primary technical reference for system design and code quality — driving architectural discussions, code reviews, and cross-team alignment between product, UX, and engineering in a fast-growing SaaS environment.
Software Engineer at frog (global design & technology consultancy), delivering high-quality frontend engineering for high-traffic consumer products across agile, cross-functional teams. - Engineered reusable frontend components and design system implementations using React, TypeScript, and Material UI for a high-traffic US-based food delivery platform, as part of a focused delivery cell within a large cross-functional team. - Collaborated closely with solution architects and product stakeholders to translate complex interaction designs into technically sound implementations, balancing performance, maintainability, and visual fidelity. - Contributed to the rapid delivery of a production e-learning platform, participating in requirement definition, implementation, and iterative refinement within an agile environment.