Jaume Ros

Hi! I'm

Jaume Ros

Data scientist and engineer, specializing in computer graphics.

Welcome to my website :)

About Me

I am a data scientist and engineer with a strong background in computer science and mathematics.

I am currently working at the Research Center for Visualization, Virtual Reality and Graphics Interaction on the analysis and construction of hiking trail networks on 3D terrains.

These are some of my skills:

Python
C++
R
Blender
PyTorch
Linux

Featured projects

PixInWav

A Deep Learning model for secretly transmitting images inside audio signals.

May 2022

Virtuwheel

A 3D driving game where the player controls the steering with camera-tracked arm movements.

December 2023

Honeywords

A web game where players need to construct words from a set of letters.

February 2024

Procedural city generator

A Blender script to generate 3D cities procedurally.

June 2023

Meme template extractor

End-to-end Deep Learning model that cleans the text off a meme image to obtain the original template.

June 2021

Seeing beyond

An Android app that uses Augmented Reality for the study of chess.

June 2018

Check out the full list of projects in the Project Gallery.

Experience

ViRVIG
Technica Electronics
UPC - TSC
ZeClinics

Assistant Researcher - ViRVIG

Feb 2024 - present

Project website

I am currently working as a part-time assistant researcher at the Research Center for Visualization, Virtual Reality and Graphics Interaction. Working in the SENDA project, where we analyze the impact of human hiking activity on the natural environment. The project I’m working on (also my Master’s thesis) consists in the creation of realistic hiking trail networks from Digital Elevation Maps.

Computer Science Trainee - Technica Electronics

Sep 2022 - Jan 2024

I successfully completed a 900h intership and received a job offer to continue developing my work.

Main developer of a real-time viewer for compressed image data encoded in Ethernet packets.
Assistant to the web team for the development of hardware traceability apps.
Built BI interactive dashboards to monitor client orders and hardware traceability.

Collaborating Student - UPC - TSC

Aug 2022 - Jul 2023

I collaborated with the Signal Theory and Communications Department from the Polytechnic University of Catalonia to implement several Reinforcement Learning algorithms, for didactic purposes and use on future research projects.

Collaborating Student - ZeClinics

Jan 2021 - Jun 2021

My colleagues and I implementated a specialized image processing program to automatically analyze and diagnose Zebrafish larvae. Using low-level Python modules for file processing, scikit-learn and other Machine Learning modules for segmentation, PyTorch for classification through Deep Learning, and Vue.js and Flask for building the Graphical User Interface.

My main tasks were in the development of the Python backbone for image and video processing and implementing the low-level real-time segmentation algorithms.