I'm a Computer Systems Engineer from Valparaíso, Chile, focused on building web and mobile systems, backend architectures, APIs, data-driven applications, and software engineering solutions.

My professional experience spans education, healthcare, logistics, industrial maintenance, and public-sector projects. I enjoy working on problems where software development goes beyond simply implementing features: understanding the problem, gathering evidence, measuring results, and continuously improving the system.

Currently, I'm particularly interested in software engineering, applied research, optimization algorithms, artificial intelligence, data privacy, and open-source development.

• 🌍 Based in Valparaíso, Chile
• 💻 Senior Full Stack Developer
• 🧠 Exploring AI, optimization, algorithms, and applied research
• 🔬 Developing Evidence-Driven Software Evolution (EDSE), a methodology for making software evolution decisions based on evidence, measurement, traceability, and validation
• 🚀 Building and publishing open-source software
• 🔐 Researching practical approaches to data protection and privacy compliance
• 🤝 Open to collaborating on software engineering, backend, data, optimization, open-source, and research-oriented projects
• ⚡ Outside software, I enjoy electronics, robotics, Arduino, and Raspberry Pi projects with my children

I build business applications from backend APIs and databases to web and mobile interfaces.

My main technologies include:

• Backend: PHP, Laravel, Symfony, Node.js, Python
• Frontend: Angular, React, Next.js, TypeScript
• Mobile: Ionic, Android
• APIs: REST APIs, authentication, integrations
• Databases: PostgreSQL, MySQL
• Infrastructure: Linux, Docker, AWS, DigitalOcean

One of my main interests is applying research principles to real software projects.

I work with:

• Evidence-driven development
• Requirements engineering
• Architecture and technical decision records
• Baseline measurement
• Experimental evaluation
• Regression validation
• Traceability
• System performance analysis
• Optimization and operational research
• Technical documentation and reproducibility

This led to the development of EDSE — Evidence-Driven Software Evolution, a methodology I use to structure the evolution and validation of software systems.

I'm expanding my work toward artificial intelligence and algorithmic problem solving, with particular interest in applying these techniques to real-world systems.

One of my research projects explores last-mile logistics optimization, combining clustering, geographic data, routing information, and quantitative evaluation to study delivery assignment and route optimization.

A management platform for medical equipment maintenance, designed to improve maintenance workflows, traceability, documentation, operational efficiency, and compliance in healthcare institutions.

The project includes:

• Web administration
• Mobile applications for technicians
• REST APIs
• Equipment and maintenance management
• Work orders
• Auditability and traceability
• Performance and UX measurement
• Automated testing and validation
• Dockerized development environments

Main stack: Laravel · PHP · Angular · Ionic · PostgreSQL · Docker

I'm developing open-source tools for WooCommerce and WordPress aimed at helping online stores implement technical controls related to Chilean data protection legislation.

The project combines software development with legal/technical requirements analysis, translating regulatory obligations into:

requirements → controls → evidence → implementation → tests

This work is also part of a broader exploration of how software can support compliance through measurable and auditable technical mechanisms.

An applied research project exploring computational approaches to delivery assignment and route optimization.

The project uses real geographic and routing data to compare different distance models and evaluate optimization strategies.

Technologies include:

Next.js · TypeScript · Laravel · PostgreSQL · OpenStreetMap · OSRM

I enjoy creating reusable software components and publishing them for other developers.

An Angular image uploader component supporting:

• Multiple image selection
• Image previews
• Drag & drop
• Camera capture
• Reactive Forms integration
• Validation
• Standalone Angular components

📦 Published as an npm package.

🌐 Portfolio

Build software. Measure it. Learn from the evidence. Improve it.

— Evidence-Driven Software Evolution