About me

I'm an engineering leader with 20 years of experience building high performance teams and scaling infrastructure platforms, most recently at Meta. I led teams responsible for data pipeline orchestration, ephemeral workload execution, and AI training frameworks. We drove reliability and efficiency wins (10s of MW saved), made it easier for data scientists, data engineers, and product engineers to ship safer pipelines, and aligned platform owners across the data org to ship a cohesive control plane for the warehouse.

Before Meta, I was CTO for the Americas operation at MonstarLab. Before that, I spent 14 amazing years at Globant. I joined when we were a small consulting shop and grew with the company through IPO to 20,000 people across 30+ countries, leading distributed teams that delivered for clients like Nike, Electronic Arts, Wells Fargo, Salesforce, Razorfish, and Rockwell Automation, and helped shape how we built and ran engineering as the company scaled.

I care about organizations where engineering leaders stay close to the technology: contributing to system design, debugging hard problems, and keeping a high bar for execution without becoming a bottleneck. I've spent most of my career at the intersection of good design and engineering.

I'm focused on what's next, especially AI & data infrastructure and ML developer experience, in roles where leadership and hands-on technical work are part of the same job.

I'm building tinydag, a pipeline orchestration tool focused on safety and speed.