AI platforms · Distributed systems · Cloud architecture

Hands-on engineering leader.

I lead engineering teams and stay close to the architecture and code. My CTO and co-founder experience spans AI platforms, distributed systems, and SaaS built on AWS and Kubernetes.

Leadership
Technical strategy, team building & delivery
Architecture
Multi-tenant SaaS & distributed workflows
Hands-on depth
AI systems, AWS & Kubernetes / EKS

01 / About

Leadership with technical depth.

I work where engineering strategy meets implementation: building teams, shaping architecture, and translating complex business requirements into software people can use.

At GraceAI, I lead the technical vision, architecture, product strategy, and engineering team behind an AI document platform. Before Grace, I built Signot’s software from its early days through nationwide expansion and led a remote engineering team at Atomic Infotech.

I enjoy developing engineering teams while staying directly involved in system design, simplifying complex domains, and making the technical decisions that shape the platform.

02 / Experience

Building platforms.
Leading the teams behind them.

GraceAI

Founder & CTO

Jan 2025 – Present

AI-powered SaaS for document workflows in Mexican notary offices.

  • Lead technical vision, architecture, product strategy, and the engineering team.
  • Designed a multi-tenant microservices platform on AWS EKS, with NestJS, Python, Temporal, and Angular.
  • Built a pipeline that learns from each notary's historical documents to personalize drafting, with per-tenant inference profiles and LLM observability.

AI platforms · SaaS architecture · Engineering leadership

Signot

Founder & CTO

Jan 2015 – Present

Notarial software developed from one state's requirements into a nationwide platform.

  • Started as the initial software engineer and took responsibility for technical direction, infrastructure, software architecture, and team leadership.
  • Led internal and external engineering teams on a financial institution project that made notarial workflows visible through process tracking and reporting.
  • Coordinated the adoption of Agile practices and designed infrastructure and software architecture for high availability and long-term product needs.

Technical strategy · Platform growth · Cross-team delivery

Atomic Infotech

Mexico Team Lead

Dec 2020 – Jan 2022

Built and managed a remote engineering team in Mexico.

  • Managed recruiting and team operations, including compensation, equipment, and benefits.
  • Worked with the project manager to review team performance and keep communication flowing between the team and project leadership.

Remote team leadership · Recruiting · Delivery coordination

Atomic Infotech

Software Developer

Aug 2011 – Jan 2015

Enterprise software and integrations for multi-unit retailers.

  • Developed business intelligence and reporting tools, intranets, document management solutions, accounting integrations, and gift card systems.

Enterprise software · Data & integrations

03 / Selected work

Complex domains. Practical systems.

Selected work across AI document processing, financial workflows, and rules-driven software.

AI document systems / GraceAI

From historical documents to personalized drafting

Built ingestion for digital and scanned PDFs, including OCR normalization, and a pipeline that uses historical legal documents to generate drafts in each notary's style. A separate multi-agent system automates mortgage instruction configuration.

Python · PydanticAI · Temporal · AWS Bedrock · Langfuse

Financial workflows / Signot

Visibility across the notarial process

Led delivery of software requiring each notarial process step to be reported, giving a financial institution visibility into progress through targeted reports. Coordinated Signot's engineering team with an external team.

AWS · Java · Node.js · MySQL · Redis · Angular

Rules & automation / Signot

A nationwide fees and tax calculator

Built software to handle fees and taxes that vary by state and municipality. Combined automated monitoring of published PDFs with an administration tool that lets the legal team maintain calculation rules.

AWS Lambda · ECS · SQS · Node.js · MySQL

04 / Expertise

Depth across the engineering stack.

Engineering leadership

Technical vision, architecture, recruiting, remote team management, Agile delivery, and coordination across internal and external teams.

AI & document platforms

OCR, LLM extraction and generation, multi-agent workflows, PydanticAI, Bedrock, SageMaker, and Langfuse observability.

Cloud & distributed systems

AWS, Kubernetes / EKS, Karpenter, Docker, Terraform, Temporal, RabbitMQ, and CI/CD with GitHub Actions.

SaaS & application architecture

Multi-tenancy, TypeScript / NestJS, Python, Java, Angular, PostgreSQL, MySQL, Redis, ClickHouse, and Keycloak.

05 / Education

A foundation in computer science.
A focus on AI.

Expected 2027

Master's in Machine Learning & Artificial Intelligence

OBS Business School · Academic partner UNIE Universidad, Madrid

2011

B.S., Computer Science and Systems

University of Washington

Connect

Let's talk engineering leadership.

I welcome conversations about engineering leadership, AI platforms, and the architecture behind dependable SaaS products. Let's connect and compare notes.