About Nil
The best AI solutions are shaped by the problems they solve.
That's why I believe understanding is one of the most important parts of engineering. Before choosing a model, designing an architecture, or writing a single line of code, I want to understand the domain, the constraints, and the people the solution is meant to serve.
I like turning ideas that are still abstract into systems that people can actually use. That often means making complex concepts easier to reason about, building early prototypes, and iterating until the solution feels natural—not just technically correct.
I don't see AI as a single technology or methodology. I see it as a rich engineering discipline that offers many ways to approach a problem. My goal isn't to fit a problem to a particular technique, but to understand it well enough to choose the right combination of tools.
The solutions I strive to build are tailored to their context, grounded in a deep understanding of the domain, and designed to be elegant, efficient, and genuinely useful.
I'm at my best in environments where curiosity is expected, ownership is encouraged, and thoughtful engineering matters more than following familiar patterns.
Catalan
Native or bilingual
English
Conversational
Spanish
Native or bilingual
Can work on-site
Barcelona (up to 50km)
Experience
- UXLandAgentic System EngineerSOFTWARE PUBLISHINGJune 2025 - May 2026 (11 months)Barcelona, SpainFocused on the R&D of Decision Support Systems (DSS) leveraging LLM based agents, multi-agent orchestration, and AI pipelines. Mastered DevOps to bridge the gap between theoretical research and high-performance, production-ready AI systems. Leverages professional development frameworks, MLOps tools, AI-assisted development, model monitoring, and automated testing to accelerate the experimental cycle and build robust, autonomous intelligent systems.
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Education
- Bachelor's Degree in Artificial IntelligenceUniversitat Politècnica de Catalunya (UPC)2026Bachelor's Degree in Artificial Intelligence