Diego Trujillo
Diego Trujillo new_releases
About
Detail
AI Engineer | Senior Backend & Software Engineer
Cali, Valle del Cauca, Colombia
Software Engineer with 23+ years of experience building and delivering backend, enterprise, and cloud-based solutions. My strongest background is in C#/.NET, Go, software architecture, REST APIs, microservices, SQL, and scalable distributed systems.
Over the past year, I have focused on AI Engineering and AI-first software development practices. My experience includes building and working with Claude-based agents, agentic workflows, orchestration, prompt and context engineering, MCP integrations, LLM-as-judge evaluation pipelines, and AI-assisted engineering workflows.
I have worked with parallel Claude Code sessions across multi-repository systems, establishing governance through CLAUDE.md, using specifications as a source of truth, implementing persistent cross-session context, and integrating tools such as GitHub, GitLab, and Figma through MCP.
My broader engineering background allows me to bridge AI capabilities with production software systems, with a focus on architecture, maintainability, scalability, quality, and practical delivery.
My strongest cloud experience is with AWS, which I have used for more than six years. I also have experience with CI/CD, Git, GitLab CI, GitHub Actions, Docker, Clean Architecture, SOLID principles, and Agile methodologies.
I am interested in AI Engineering, Agentic AI, backend engineering, software architecture, and roles where I can combine hands-on technical work with designing and delivering robust production systems.
Over the past year, I have focused on AI Engineering and AI-first software development practices. My experience includes building and working with Claude-based agents, agentic workflows, orchestration, prompt and context engineering, MCP integrations, LLM-as-judge evaluation pipelines, and AI-assisted engineering workflows.
I have worked with parallel Claude Code sessions across multi-repository systems, establishing governance through CLAUDE.md, using specifications as a source of truth, implementing persistent cross-session context, and integrating tools such as GitHub, GitLab, and Figma through MCP.
My broader engineering background allows me to bridge AI capabilities with production software systems, with a focus on architecture, maintainability, scalability, quality, and practical delivery.
My strongest cloud experience is with AWS, which I have used for more than six years. I also have experience with CI/CD, Git, GitLab CI, GitHub Actions, Docker, Clean Architecture, SOLID principles, and Agile methodologies.
I am interested in AI Engineering, Agentic AI, backend engineering, software architecture, and roles where I can combine hands-on technical work with designing and delivering robust production systems.