Eduardo Diaz Sancha

Hi! I’m a Director of Engineering from the Canary Islands, living in Atlanta since 2022 after stints in Spain, France, Cambodia, Silicon Valley and New York. I’ve been building software since 2005 and leading consumer product and platform organizations since 2017, most recently the Post Purchase, Care and Internal Tools teams at Grubhub. Before management I shipped iOS apps for a decade and worked on Scala and Ruby on Rails backends.

I’m interested in technology, leadership, fitness and endurance training, parenting, traveling, electronic music, and many other things. Some of that ends up in my writing.

Now

• Focus: AI-assisted engineering at scale (adoption, governance and measurable outcomes), customer-experience automation, and platform modernization that pays for itself.
• Open to: Director / Head of Engineering roles and advisory work with teams adopting AI in their software lifecycle.
• Building: Alisi, a safety-first breath-training app for athletes, as a solo founder using AI-assisted engineering end to end: agents write most of the code, and CI enforces the product rules they must not break.
• Outside work: I coach endurance athletes at Salitre Coaching and race marathons and Ironman triathlons.

Full history · Resume (PDF) · LinkedIn · Email me

Fitness

My last year of training from Garmin, refreshed every day: how long I train across every sport, how much of it is hard (minutes in heart-rate zones 4 and 5), and how far I run. I care much more about the first two than about distance, and most of that time should be easy.

How these grids are made

Recent writing

• Turning My Garmin Data into GitHub-Style Heatmaps 22 Oct 2026

  Garmin opened a Personal API, so I built a small library that turns my training into GitHub-style activity grids on this site, and learned the most from what broke in production.

• There Is No Such Thing as a Recovery Sprint 24 Sep 2026

  Meta tripled its code output with AI and got a 40% rise in incidents. Any running coach would have called it: you don't get faster by making every day a hard day.

• The Cognitive Dissonance of Working in Tech Right Now 15 Sep 2026

  During the pandemic we were allowed to say things were scary. In tech today, doubt about AI reads as resistance, and that is a burnout machine leaders can switch off.

New essays go out first on my Substack, then land here in Writing.