Sysadmin \t{}\LaTeX{}\t{} Rust \t{} Julia \t{} Blender \t{} Embedded Systems \t{} Spanish
(native) \t{} English (bilingual) \t{} Catalan (proficient)
% -----------EDUCATION-----------------
\section{Education}
\resumeSubHeadingListStart
%\resumeSubheadingUniversity
%{\href{https://ethz.ch/en/studies/master/degree-programmes/engineering-sciences/robotics-systems-and-control.html}{MSc Robotics, Systems and Control}\href{https://ethz.ch/students/en/studies/financial/scholarships/excellencescholarship.html}{ESOP Scholar}}{ETH Zürich}{9/2021 -- Present}
\resumeSubheadingCenter
{MSc Robotics, Systems and Control}{\href{https://ethz.ch}{ETH Zürich}}{Zürich, CH}{9/2021 -- Present}
\resumeItemItem Research on small Deep Learning models for object detection with event cameras on embedded hardware.
\resumeItemItem Implementation of CNN-RNN baseline architecture using Pytorch, Lightning and Hydra.
\resumeItemItem Implementation of a state-of-the-art Vision Transformer (ViT) model that outperformed the baseline's IoU by 50\% while having x5 less parameters.
\resumeItemItemLarge dataset pipeline: speed-up of x100 while handling \>1TB of data.
\resumeItemItem Researched on small Deep Learning models for object detection with event cameras on embedded hardware.
\resumeItemItem Implemented a CNN-RNN baseline architecture using Pytorch, Lightning and Hydra.
\resumeItemItem Implemented a state-of-the-art Vision Transformer (ViT) model that outperformed the baseline's IoU by 50\% while having 5x less parameters.
\resumeItemItemCreated a large dataset pipeline: speed-up of 100x while handling \>1TB of data.
%\resumeItemItem Deployment to embedded hardware using TensorRT and ONNX.
\resumeItemItem Added features and solved bugs of internal codebase, using pytest and GitLab's CI.
%\resumeItemItem Created a pipeline for calibrating a stereo event camera setup.
%\resumeItemItem Enhanced functionality \& resolved issues within the internal codebase, leveraging pytest and GitLab's CI/CD pipeline.
%\resumeItemItem Created a pipeline for calibrating a stereo event camera setup for automotive applications.
\resumeItemItem Embedding learned actuator dynamics using neural networks in an Whole Body Controller.
\resumeItemItem Researched the use of learned actuator dynamics using neural networks in a Whole
Body Controller (WBC).
\resumeItemItem Supervised by Dongho Kang, Joonho Lee and Prof. Stelian Coros.
%\resumeItemItem Learned actuator dynamics using neural networks in an Whole Body Controller (WBC).
%\item Semester Project that got expanded into a Research Assistanship over the summer. Exploration on the inclusion of learnt actuator dynamics using neural networks in an MPC/WBC optimization based controller.
% Supervised by Dongho Kang (CRL @ ETH Zurich), Joonho Lee (RSL @ ETH Zurich) and Prof. Dr. Stelian Coros (CRL @ ETH Zurich).
\resumeItemListEnd
@ -162,7 +196,10 @@ CUDA \t{} Sysadmin \t{} \LaTeX{} \t{} Rust \t{} Julia \t{} Blender \t{} Embedde
\resumeItemItem Research funded by the merit based \href{https://www.educacionyfp.gob.es/servicios-al-ciudadano/catalogo/general/99/998142/ficha/998142-2022.html}{Collaboration Grant} issued by the Spanish Ministry of Education.
\resumeItemItem Trajectory optimization and WBC implementation to make bipedal robots walk, using C++ and ROS.
\resumeItemItem Bipedal gait generation and tracking through trajectory optimization and a custom
made WBC, using C++ and ROS.
\resumeItemItem Supervised by Prof. Jorge Pomares.
%\resumeItemItem Trajectory optimization and WBC implementation for bipedal locomotion, using C++ and ROS.
%\item Trajectory optimization for bipedal gaits, using towr and ROS.
%\item Implementation of a QP-based whole body controller to follow trajectories, using C++, ROS and Gazebo.
\resumeItemListEnd
@ -170,83 +207,26 @@ CUDA \t{} Sysadmin \t{} \LaTeX{} \t{} Rust \t{} Julia \t{} Blender \t{} Embedde
\resumeItemItem Creation of a robot forklift simulation with ROS, Gazebo and Docker.
\resumeItemItem Pallet pose estimation and forklift alignment, using the Point Cloud Library and ROS Controllers.
\resumeItemItem Created a robot forklift simulation with ROS, Gazebo and Docker.
\resumeItemItem Pallet pose estimation and alignment on a real forklift, using the Point Cloud
Library, ROS Controllers and C++.
%\item Modeling of a robot forklift and the logistics environment, using ROS and Gazebo.
%\item Pose estimation of pallets using LiDAR and depth camera information, using C++, ROS and the
% Point Cloud Library.
%\item Implementation of maneuvering controllers to align the forklift against detected pallets,
% using C++ and ROS.
\resumeItemItem Internal robot's TCP connection speed up of x2 by using data compression
%\resumeItemItem Internal robot's TCP connection speed up of x2 by using data compression
%\item Deployment of the robotics stack in containers using Docker.
\resumeItemListEnd
\resumeSubHeadingListEnd
% -----------EDUCATION-----------------
\section{Education}
\resumeSubHeadingListStart
%\resumeSubheadingUniversity
%{\href{https://ethz.ch/en/studies/master/degree-programmes/engineering-sciences/robotics-systems-and-control.html}{MSc Robotics, Systems and Control}\href{https://ethz.ch/students/en/studies/financial/scholarships/excellencescholarship.html}{ESOP Scholar}}{ETH Zürich}{9/2021 -- Present}
\resumeSubheadingCenter
{MSc Robotics, Systems and Control}{\href{https://ethz.ch}{ETH Zürich}}{Zürich, CH}{9/2021 -- Present}
