01
Train
Give the team sound judgment, a shared language and a way of working it can sustain.
About us
Developers who teach, build and apply AI in real systems
We help professionals and teams turn AI into a more reliable, transferable and useful way of working.
Instructors
Instructors who apply AI in real projects
Antonio and Nino combine software development, agent systems, automation, data and teaching experience. They work directly on both training and company projects.
antonio@devexpert — whoamiGDE
Antonio Leiva
DevExpert founder · Google Developer Expert
More than 15 years in software development and over 10,000 developers trained. An early AI adopter since 2022, with advanced experience in coding agents, context engineering and verifiable workflows.
$ stats --antonio
experience15+ years
developers_trained10,000+
recognitionGoogle Developer Expert
focusAI applied to development
training · implementation · softwarefounder
nino@devexpert — whoamiAI · Big Data
Nino Ruano
AI and Big Data specialist · Instructor
14+ years in multiplatform development and 8+ as an instructor, with more than 40 projects supervised. His teaching focuses on practical application: automation, AI integration and projects with real-world impact.
$ stats --nino
experience14+ years
as_instructor8+ years
projects40+ supervised
focusApplied AI and Big Data
training · implementation · softwareinstructor
A shared belief
AI creates value when it stops being an isolated conversation
Training, implementation and software come together when knowledge becomes a repeatable, shared and measurable system.
02
Implement
Bring AI into real processes with clear permissions, data and observable results.
03
Build
Create software when existing tools force you to compromise on what matters.
The bright side of development
Grow with technology without sacrificing your peace of mind
DevExpert was created to restore technology’s role as an enabler. We want professional progress to coexist with sound engineering judgment and responsibility.
We learn by building, separate the essential from the incidental and turn what we learn into paths that other people and teams can apply.
How we work together
The context never changes hands
The people who listen to the problem are the same people who challenge decisions and do the work. We share the same context, even when a challenge calls for a different mix of product, training, data or development.
listen together → decide with judgment → execute without losing context
Principles
How we decide what is worth building
01
Pragmatic technology
The most useful solution to the problem, not the flashiest one or the one that uses the most AI.
02
Transferable knowledge
The professional or team must be able to continue without depending on us indefinitely.
03
Honest work
No hype, invented case studies, impossible promises or borrowed authority.
Next step