Education

• Université de Bordeaux, Universidad Autónoma de Madrid, Pázmany Péter Katolikus Egyetem - MSc Image Processing and Computer Vision (2018 - 2020): Fully funded Erasmus+ student.
• Pontificia Universidad Javeriana de Cali - BSc in Electronics Engineering (2010-2017): Honor distinction for Thesis Natural Scene Statistics of Long Wave Infrared and Visible Images, Merit awards.
• Karslruhe Institute of Technology (2015): Exchange semester, DAAD scholarship.

Research

• Vicomtech - Real-time Human Pose Estimation for Artistic Visual Effects (02/2020 - 06/2020): Development of deep learning applications for driving and generating visual effects in concerts and festivals.
• Université de Bordeaux, Universidad Autónoma de Madrid, Pázmany Péter Katolikus Egyetem - Object Detection in Wide-angle/Immersive Image Formats (01/2019 - 12/2019): Analysis of effects of projections and distortions in object detection in omnidirectional images. Deep learning approaches for object detection in spherical images.
• Predicting the Quality of Fused Long Wave Infrared and Visible Light Images: published in IEEE Transactions on Image Processing
• Statistics of Natural Fused Image Distortions: presented at ICASSP 2017

Experience

• Fraunhofer HHI - Researcher (01/2021 - Present)
• Vicomtech - Research Intern (02/2020 - 06/2020): Developer of digital media applications of audience interaction with visual effects during concerts and festivals.
• VASS LATAM - Programmer SOA (10/2017 - 07/2018): Developer of key software components for AXA as a consultant programmer.
• Continental Automotive GmbH - R&D Intern (04/2015 - 08/2015): Upgraded a software tool for reporting the performance of electronic control units in the department of fuel and exhaust management. Achieved greater insights of results and developed new test metrics.

Languages

Language	Level	Certificate
Spanish	Native
English	C1	IELTS - 7.5
German	B2	TestDaF

Programming Languages

Language
Python	3+ years
Matlab	6+ years
C++	3+ years
C	2+ years
C#	1+ years

Data Science: Numpy, Pandas, SciKit Learn, Keras, Tensorflow, PyTorch

Awards

• Erasmus Mundus Joint Master Degree Scholarship 2018-2020: Selected among worldwide applicants to be part of an intercultural cohort and carry out fully-funded graduate studies in three European universities.
• Meritorious Honor Distinction of Undergraduate Thesis
• Xaverian Academic Merit Award: Best graduating electronics engineering student
• ICASSP 2017 travel grant and lecture presentation: About Statistics of Natural Fused Image Distortions in New Orleans, USA
• DAAD “Young Engineers” Scholarship 2014-2015: Selected as one of the 6 best students of the Engineering Faculty of the Pontificia Universidad Javeriana for a fully funded exchange program in Germany

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