About
Computer engineering and business background. Pursuing M.A.S. in AI. I care about clean systems, practical solutions, and engineering that works in production.
Clean architecture, pragmatic solutions, and systems that scale. I value clear thinking about problems, solid implementation, and teams that care about doing things well. Software engineering fundamentals with AI integration is where I focus.
Building software systems with AI agents at the core. Companies working on agentic AI, autonomous systems, or AI-powered products. I want to work on systems that matter, with strong technical teams.
Experience
Software engineering experience with event-driven systems, scalable architecture, and practical machine learning integration.
Built end-to-end backend and frontend features within an international Agile team.
Developed an event-driven email alert microservice for a Jira-style ticketing system using Node.js and RabbitMQ, processing more than 25,000 events and notifications per month for enterprise energy clients.
Migrated five data ingestion microservices from TypeScript to Python and used Apache Airflow to build more fault-tolerant ETL workflows with automated error recovery.
Developed backend services and frontend dashboards for renewable energy management platforms using Node.js, Angular, and MongoDB.
Education
Graduate studies in AI and computer engineering, built on a dual undergraduate background in engineering and business.
Current GPA: 4.0/4.0 · Dual Master’s Degree Program
Relevant coursework: Advanced AI, Time Series Analysis and Forecasting, Machine Learning.
GPA: 3.4/4.0 · Dual Master’s Degree Program
Polytechnic University of Madrid · GPA: 3.5/4.0
Projects
A few projects in computer vision, forecasting, and systems programming.
Computer vision
Implemented a simplified YOLO model from scratch and extended YOLOv7 with Coordinate Attention to explore improvements in small object detection.
Forecasting
Built an R-based benchmarking pipeline to compare statistical and machine learning models on the M4 Monthly dataset using standard forecasting metrics.
Systems
Built a UNIX-style shell in C with command piping, environment management, and error handling.
Graphics
Created a procedural 3D scene in C++ and OpenGL using GPU tessellation, frustum culling, and instanced rendering.
Skills
A concise overview of the technologies and areas I have worked with most.
System architecture, event-driven design, scalability, clean code principles
Python, TypeScript, SQL, C, C++, Java
Machine learning, deep learning, LLMs, agentic systems, AI integration
Node.js, Docker, Git, MongoDB, REST APIs, system integration
Contact
The best way to reach me is by email or LinkedIn.
Chicago, Illinois.
Open to software engineering and AI-related opportunities with strong teams, interesting technical challenges, and room to keep growing.