Welcome

I am a Machine Learning Engineer at Apple, previously post-doctoral researcher at the Chair for Applied Software Engineering at the Technical University of Munich. I have over 15 years experience conducting research in data-centric machine learning.

Skills

Agentic AI — Agentic workflow design, evaluation and optimization for latency, cost and predictive power. MCP service and Skill creation, deployment and maintenance.

ML Lifecycle and Evaluation — Multi-modal LLM evaluation design, online and offline metrics definition, error analysis.

Data-centric AI — Data annotation, generation, curation at scale, data quality assessment, insight generation, active learning, statistical methods, A/B testing.

Software Engineering — Full-stack: Backend (Python), Frontend (JavaScript / React) with all the related tooling: Dockerization, Linting, Testing, CI/CD, etc. Familiar with AWS stack.

Brief Bio

I obained a Bachelor’s degree in computer science at the Pompeu Fabra University with honors and an award to the highest grades of the 2009-promotion. I then moved to Germany where I studied Computational Science and Engineering at the Technical University of Munich with the financial support of a fellowship from the Fundación Caja Madrid. I obtained my doctoral degree in software engineering with a focus on machine learning for wearable devices in 2016 with suma cum laude. Driven by different exciting research ideas I could not finish during my Ph.D., I did a four year post-doc and obtained a Habilitation (highest degree attainable in Germany). During my professional career, I obtained different awards and published my research at top scientific conferences. I joined Apple in 2020 and I am still loving working here.

Find me on…

You can find me on Google Scholar, LinkedIn and Github.