I combine FullStack + Data + AI to take products from idea to production with measurable impact. I work with NestJS, Next.js, TypeScript, Python, Airflow, OpenAI and AWS.
I do not just ship features: I design systems where backend, frontend, data and AI work as one unit, with type-safe architecture and operational focus.
LLM-assisted workflows deployed in production through WhatsApp and tawk.io.
Driven by type-safe systems, cleaner interfaces and more resilient architecture.
Improved frontend delivery through scalable components and stronger UI architecture.
I am a full stack engineer specialized in AI systems and data pipelines. I design architectures where artificial intelligence is not a feature, but the operational core of the system.
I work with Nest.js, Next.js and TypeScript for product delivery, Python and Airflow for orchestration and pipelines, and OpenAI + AWS + Docker for automation, deployment and scalability.
AI Systems & Automation | NestJS, Next.js, TypeScript, Airflow, OpenAI and AWS
Greater Mexico City Metropolitan Area, Mexico
AI-driven systems, conversational automation and data pipelines
AI Full Stack Engineer, AI Systems Engineer and Data + AI Engineer
I design systems where AI is tied to real operational workflows, especially in conversational automation, support and process execution.
I work across services, APIs, ETL and Python/Airflow pipelines so analytics, automation and product can share a reliable foundation.
I have automated 40% of support operations, reduced production errors by 25%, improved frontend performance by 20% and increased organic traffic by 15%.
Each case study combines product context, implementation responsibility and measurable impact, with room for walkthroughs, stills and operational detail.
Functional demo of the main flow.
Built for real operational workflows: complex processes with handoffs, follow-ups, evidence and SLAs that Handbook turns into guided execution with live dashboards and audit trails.
AI Full-Stack Engineer
Handbook
Feb 2026 - Present
Many operations rely on fragmented handoffs, approvals and evidence collection, which creates missed steps, SLA risk and poor visibility.
As an AI Full-Stack Engineer, I work across Product Architecture & LLM Systems to model processes and turn them into guided execution with rules, reminders and escalation paths.
It demonstrates AI applied to real operations in manufacturing, banking and insurance with SLA visibility and complete auditability.
Identify the operational bottleneck, design a resilient system, and ship with measurable outcomes.
I start by isolating what is actually slowing the operation down, whether it lives in support, analytics, backend, UI or the handoff between teams and systems.
The best solutions combine type-safe architecture, thoughtful product flows and integrations that can actually support real usage.
The goal is not only to release, but to leave behind a system that automates, reduces errors, improves performance and can be operated with confidence.
Measured impact in automation, reliability, performance and product growth.
LLM-assisted workflows deployed in production through WhatsApp and tawk.io.
Driven by type-safe systems, cleaner interfaces and more resilient architecture.
Improved frontend delivery through scalable components and stronger UI architecture.
Driven by technical SEO improvements, stronger frontend structure and better product quality.
Stack organized by key capability areas for AI Full Stack Engineer roles.
Relevant education and certifications for product, backend and AI systems roles.
Formal software and programming foundations for designing and maintaining production systems.
The current profile combines UX, cloud and systems/network fundamentals to complement day-to-day full-stack practice.
Prepared for product teams, startups and remote environments with international expectations.
Official badges verifiable on Credly.
I am looking for roles where I can contribute to product architecture, backend, data and AI integration with measurable impact.
Rodrigo Eliseo Garcia
