14 items with this tag.
Por qué conviene diseñar primero sistemas naive y manuales antes de automatizar. Como en el deporte: hay que hacerlo ineficiente antes de optimizar.
Why you should design naive, manual systems first before automation. Like learning a sport - you need to do it inefficiently before you can optimize.
On designing software for markets where half the population is unbanked, most users don't have iPhones, and the SaaS playbook from Silicon Valley doesn't apply.
On growing up with Linux, choosing finance over computer science at ITAM, and why the most important technical skill I have didn't come from an engineering classroom.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Lessons from competing across ecosystems and countries: why building under constraints is the fastest way to learn what actually matters.
On designing software for markets where half the population is unbanked, most users don't have iPhones, and the SaaS playbook from Silicon Valley doesn't apply.
On growing up with Linux, choosing finance over computer science at ITAM, and why the most important technical skill I have didn't come from an engineering classroom.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Lessons from competing across ecosystems and countries: why building under constraints is the fastest way to learn what actually matters.
On designing software for markets where half the population is unbanked, most users don't have iPhones, and the SaaS playbook from Silicon Valley doesn't apply.
On growing up with Linux, choosing finance over computer science at ITAM, and why the most important technical skill I have didn't come from an engineering classroom.
Lessons from building an electoral cartography app that had to work in places with barely any internet — and accidentally starting my MLOps journey.
Lessons from competing across ecosystems and countries: why building under constraints is the fastest way to learn what actually matters.