Backend Engineering
APIs, microservices, and distributed systems designed to scale with security, performance, and clarity.
suspend fun scale() = architectureBACKEND ENGINEER · AI BUILDER · PROFESSOR
Robust architectures, applied artificial intelligence, and software engineering taught with depth—code that scales ideas and turns complexity into impact.
// SYSTEM CAPABILITIES
From high-level architecture to the details that make a system survive the real world.
APIs, microservices, and distributed systems designed to scale with security, performance, and clarity.
suspend fun scale() = architectureSoftware close to the metal when every cycle matters—concurrency, efficiency, and reliability by design.
Result<Speed, Reliability>From experiment to product: agents, generative models, intelligent automation, and applied data engineering.
intelligence = context + craftFunctional clarity and critical thinking connecting industry, research, and the next generation of developers.
(map knowledge future)01 data class Future(
02 val systems: Scalable,
03 val intelligence: Applied,
04 val knowledge: Shared
05 )
06
07 fun build(idea: Idea) =
08 idea.transform()
// ENGINEERING PRINCIPLES
My practice lives at the intersection of engineering rigor, research curiosity, and the responsibility to share knowledge.
// JOURNEY IN PROGRESS
Three perspectives that continuously feed one another and create technology with more context.
Resilient systems and architectures that sustain real products, combining pragmatism with technical excellence.
STATUS: BUILDINGEducating professionals who can think beyond frameworks and understand the foundations that run through technology.
STATUS: TEACHINGTurning scientific inquiry into a repertoire for teaching better, building better, and asking more relevant questions.
STATUS: RESEARCHING// KNOWLEDGE LOG
Technical notes, deep explanations, and bridges between engineering, AI, and education.
How scopes, cancellation, and supervision turn asynchronous tasks into predictable systems.
Read article ↗Retrieval, context, and evaluation: the engineering decisions that separate a demo from a reliable product.
Read article ↗// OPEN CHANNEL
Let’s talk about engineering, AI, education, or the idea that does not fit neatly into a category yet.
Start a conversation ↗contato@misterstorm.dev.br