Universidad de Zaragoza
Ph.D in Systems Engineering and Computer Science, advised by Javier Civera.
Supported by competitive research FPI Grant.

Universidad Nacional del Comahue
Electronic Engineering, advised by Matias Córdoba.
Supported by YPF scholarship ($5000/y for 5 years).
GPA: 8.69 / 10.

Spanish
Native

English
Complete professional competence

Italian
Basic professional competence

Universidad de Zaragoza
Predoctoral candidate. Research focused on odometry, 3D reconstruction and SLAM algorithms using sensor's fusion.

KUKA
Research Intern. Worked on 3D reconstruction with Gaussians. Use of Intel camera and KUKA LBR iisy Cobot for data adquisition. Developed ROS2 tools for data recording, sync and alignment. Gained experience in industrial research.

Restaurant "El Chiringo"
Waiter. Provided efficient table service in busy hospitality settings. Gained experience in customer interaction and order coordination.

Hydroner
Junior Engineer. Contributed to the development and deployment of wireless communication systems for IoT-based monitoring in oilfield environments.

Matra SRL
Junior Engineer. Designed and implemented automated control systems for clients in the oil industry. Worked with PLCs from Allen Bradley and Siemens to develop and deploy process automation solutions.

Universidad Nacional del Comahue
Assistant professor. Taught undergraduate students in Control Systems I. Prepared lectures, guided lab sessions, and assisted students with theoretical and practical concepts.

SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM A novel dataset designed to benchmark methods in the intersection between SLAM and novel view rendering. It consists of 40 sequences with synchronized RGB, depth, IMU, robot kinematic data, and ground-truth pose streams

GNSS-inertial state initialization by distance residuals A novel GNSS-inertial initialization strategy that delays the use of global GNSS measurements until sufficient information is available to accurately estimate the state of a sensorized device. To determine the optimal moment for switching from relative to global measurements, we introduce a criterion based on the evolution of the Hessian matrix singular values

Camera Motion Estimation from RGB-D-inertial Scene Flow Estimate the camera motion in a rigid 3D environment, along with the state of an IMU while offering the flexibility to operate as a multiframe optimization or to marginalize older data