I’m a Backend Engineer and Computer Science student at Tecnológico de Monterrey focused on building scalable distributed systems, AI-powered backend services, and cloud-native architectures.
My main stack revolves around Java and Spring Boot, where I design microservices, APIs, and intelligent automation systems deployed in Google Cloud Platform (GCP) environments.
I’m particularly interested in LLM orchestration, AI agents, and retrieval systems, using Spring AI, MCP servers, and agent-based architectures to integrate AI capabilities directly into backend platforms.
For rapid prototyping and experimentation, I also work with Python and FastAPI, especially when building AI pipelines or early-stage system prototypes.
Beyond backend development, I’m deeply interested in cybersecurity, systems programming, and low-level computing, working with C, C++, and Assembly to understand how systems operate closer to the hardware.
Designing scalable backend systems using:
- Java
- Spring Boot
- Spring AI
- RESTful APIs
- Microservices architectures
Building AI-enabled backend infrastructure:
- LLM orchestration
- MCP server architectures
- RAG pipelines
- Agent-based systems
Deploying backend services in cloud-native environments:
- Google Cloud Platform (GCP)
- Docker-based deployments
- PostgreSQL
- Redis caching layers
Exploring the foundations of computing through:
- C / C++
- Assembly
- Network systems
- Cybersecurity and security automation
public class SalomonDev {
String role = "Backend Engineer";
String stack = "Java + Spring Boot + Spring AI";
String[] interests = {
"Distributed Systems",
"LLM Orchestration",
"Cloud Architectures",
"Cybersecurity",
"Low-level Programming",
};
String[] currentLearning = {
"GCP Infrastructure",
"AI Agents",
"System Design",
"Security Automation"
};
}