Experience
Evaluated market opportunities and technical requirements for autonomous heavy machinery. Completed the Ideaboost startup accelerator. Conducted customer discovery with construction companies to identify the highest-value use cases for autonomous solutions through interviews and on-site visits.
Built an automated pipeline utilizing GitHub Actions for evaluating enterprise data via Machine Learning and scheduled web scraping. Contributed to core PHP product development with a focus on clean code and reliable CI/CD workflows.
Education
Focus on Deep Learning and Reinforcement Learning.
Master's Thesis: High-Precision Excavator Control under Unknown Dynamics via Belief State Estimation. Addressed the Sim-to-Real gap by developing a self-supervised learning approach for latent representations of hydraulic dynamics, deploying the Reinforcement Learning policy on a physical 12-ton excavator in cooperation with Bosch.
Completed coursework entirely in Spanish
Bachelor's Thesis: Implementation and evaluation of AI planning algorithms.
Completed coursework entirely in French.