Elia Cano — Software Engineer · Applied AI · Full-Stack
Software Engineer
Backend · Full-Stack · Applied AI
I'm a Software Engineer focused on building reliable backend, full-stack, and AI-enabled systems for real-world business and operational problems.
My background is rooted in PHP, Laravel, MySQL, APIs, and business applications, while my current work increasingly combines TypeScript, React, Python, FastAPI, and Applied AI.
I enjoy working where software architecture, business logic, data, APIs, and AI need to work together as one reliable system.
PHP Laravel TypeScript React Python FastAPI MySQL PostgreSQL Docker OpenAI
Backend PHP · Laravel · Node.js · REST APIs · Authentication · Authorization · Domain Logic
Frontend React · TypeScript · JavaScript · API-driven applications · Operational dashboards
Applied AI LLM Integration · Tool Calling · RAG · Evaluations · Structured Outputs · Human-in-the-Loop
Data & Infrastructure MySQL · PostgreSQL · Redis · pgvector · Docker · GitHub Actions · CI/CD · Linux
Applied AI / Forward Deployed Engineering platform for real-world enterprise workflows.
Combines traditional software engineering with AI copilots, secure integrations, RAG, evaluations, observability, RBAC, and human approval workflows.
Laravel · React · FastAPI · OpenAI · RAG
AI-powered logistics operations copilot built around controlled LLM interactions.
Combines tool calling, operational data, external APIs, deterministic risk analysis, evaluations, and human approval instead of giving an LLM unrestricted control.
TypeScript · Node.js · React · FastAPI · OpenAI
Elia Cano GitHub Stats Elia Cano Top Languages
- Building production-oriented Applied AI systems
- Designing reliable backend architectures and APIs
- LLM agents with controlled tool calling
- RAG, evaluations, observability, and human approval
- Exploring Forward Deployed Engineering patterns
- Turning business and operational problems into maintainable software
Business Problem
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Discovery & Requirements
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Architecture + Data
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Business Logic + APIs
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AI where it adds real value
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Testing + Safety
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Reliable Software
I see AI as another engineering capability inside a larger system — not as a replacement for solid architecture, deterministic business rules, testing, and human judgment.
I'm interested in software and product work around:
Backend Engineering · Full-Stack Development · Applied AI · AI-enabled Operational Systems · Forward Deployed Engineering
Building software that connects business logic, real-world operations, and AI.