Senior Full-Stack & AI Engineer
I am a Senior Full-Stack & AI Engineer based in Guadalajara, Mexico, with nearly 20 years of commercial software engineering experience across full-stack products, cloud-native platforms, distributed systems, and applied AI.
Selected work
Selected product and platform work across applied AI, workflow automation, developer tooling, cloud architecture, and real-time operational systems.
Rebuilt a parenting product into an AI-native experience with personalized courses, pathways, daily sessions, podcasts, reflections, and conversational guidance based on family context, lessons, chats, and behavioral signals.
Contributed to production-grade full-stack features, personalization workflows, context-aware AI agents, secure LLM access to internal product data, and evaluation processes for prompt and agent behavior.
Transform static parenting content into contextual guidance that adapts to each family’s goals, history, and daily interactions.
Built full-stack product features, AI personalization flows, context agents, LLM data access patterns, and prompt evaluation workflows.
Helped deliver an AI-native parenting experience with personalized paths, daily sessions, reflection flows, and conversational support.
Designed and built an agentic workflow automation platform that orchestrates business processes across communication channels, internal systems, APIs, CRMs, calendars, payments, knowledge bases, and human review steps.
The initial wedge was premium clinics, but the platform was designed as a reusable workflow layer for multiple industries, with controlled automation, human-in-the-loop approvals, observability, evaluation, and reusable workflow components.
Automate complex, multi-step business workflows while keeping control, traceability, approvals, integrations, and escalation paths.
Designed agent orchestration, tool calling, RAG, integrations, voice AI, human review flows, logs, traces, and observability patterns.
Created reusable workflow components for qualification, scheduling, follow-up, approvals, payment coordination, and operations handoff.
Worked as a founding engineer on a developer-facing AI platform using fine-tuned code-focused LLMs deployed locally or within private company infrastructure.
Covered the full LLM lifecycle: dataset collection, cleaning, labeling, fine-tuning, evaluation, quantization, local inference, product integration, CI/CD, and versioning for application code, prompts, datasets, and evaluation scripts.
Enable companies to use code-focused LLMs privately with control over model behavior, deployment, and internal code security.
Worked across dataset pipelines, fine-tuning, evaluation, quantization, local inference, product integration, and CI/CD.
Supported private engineering assistant workflows suitable for internal infrastructure and code-sensitive environments.
Led and built a real-time transport tracking platform for monitoring client transports with GPS location updates, status visibility, checkpoints, photos, incident reporting, analytics, and mobile workflows for custodians.
Integrated AWS services for storage, synchronization, streaming, analytics, authentication, authorization, backend management, and scalable deployment using serverless patterns, Docker, and AWS Fargate.
Give operations teams real-time visibility into transport status, route progress, incidents, checkpoints, and evidence.
Led web/mobile development, GPS workflows, serverless backend services, AWS integrations, data flows, and deployment.
Delivered an operational tracking platform with mobile field workflows, photos, checkpoints, analytics, and live status visibility.
Technical focus
Core technical areas I work with across production software, cloud systems, applied AI, and product engineering.
React, Next.js, React Native, Node.js, TypeScript, JavaScript, Python, Java, REST APIs, GraphQL, authentication, API design, and backend services.
AWS, Lambda, DynamoDB, S3, API Gateway, Amplify, Kinesis, Docker, Fargate, CI/CD, serverless architecture, microservices, distributed systems, and event-driven workflows.
LLM integration, RAG, prompt engineering, tool/function calling, LangChain, LangGraph, Pinecone, AI agents, voice AI, OpenAI, Anthropic, Gemini, evaluation, telemetry, and MLOps.
CV
Senior engineering background across AI products, cloud platforms, workflow automation, enterprise systems, and real-time operational software.
Agentic workflow automation platform with multi-channel agents, RAG, tool calling, human-in-the-loop processes, observability, evaluation frameworks, and reusable business workflow components.
AI-native parenting app with personalized guidance, multi-agent AI, conversational experiences, production full-stack features, cloud services, and evaluation frameworks.
Private code-focused LLM platform covering dataset preparation, fine-tuning, evaluation, quantization, local inference, product integration, and MLOps practices.
Scalable web and backend systems using React, Node.js, Python, PostgreSQL, AWS, microservices, and serverless architecture patterns.
Real-time transport tracking platform with web, mobile, GPS workflows, AWS services, serverless architecture, Docker, and CI/CD pipelines.
High-traffic digital platform with full-stack web applications, dashboards, CMS, microservices, AWS, React, Java, .NET, C#, and SQL Server.
Universidad del Valle de México.
Contact
I am open to full-time senior engineering roles, AI engineering opportunities, and technical conversations around full-stack platforms, applied AI, and cloud-native architecture.