Berta Bescos
Técnica at Forestalia
Greater Zaragoza Metropolitan Area Spain
Summary
👤
Senior🎓
Top SchoolBerta Bescos is a geologist-turned-technical specialist with nearly a decade of focused experience applying GIS, databases and software to hydrogeology, agriculture and manure management across public and private sectors in Spain. She has supported European LIFE projects and led development and deployment of domain-specific IT tools (GEMA, IT MANEV) that bridge environmental science and practical farm-level planning. At Grupo Tragsa and Forestalia she has combined field inventories and infrastructure mapping with cartographic systems for flood defense and resource management. Unusually for a geoscientist, she is also active in computer vision and robotics research as a PhD student and has contributed substantial code to DynaSLAM, integrating Mask R-CNN segmentation into SLAM pipelines. This blend of hands-on fieldwork, GIS engineering and open-source CV development makes her adept at turning complex environmental data into operational applications. Based in Greater Zaragoza, she pairs deep regional knowledge with cross-disciplinary technical skills to deliver actionable geospatial solutions.
9 years of coding experience
1 year of employment as a software developer
Titulada superior, Ciencias geológicas y de la Tierra/Geociencias, Titulada superior, Ciencias geológicas y de la Tierra/Geociencias at Universidad de ZaragozaPostgrade, Certificate in Education, Postgrade, Certificate in Education at Las Palmas de Gran Canaria University. Spain
Github Skills (13)
mask-rcnn10
computer-vision10
machine-learning10
opencv10
deep-learning10
python10
slam9
dynamic8
c-language7
cprogramming-language7
inpaint6
numpy6
inpainting6
Programming languages (3)
Github contributions (5)
BertaBescos/DynaSLAM
Feb 2018 - Jun 2019
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:162 commits, 42 pushes, 1 branch in 1 year 3 months
Contributions summary:Berta primarily contributed to the DynaSLAM project by implementing and integrating the Mask R-CNN deep learning model for dynamic object segmentation. They modified existing code to incorporate the Mask R-CNN for image segmentation. The user worked on the OpenCV and NumPy integration for image processing. The user also performed modifications to the project build process and examples to support the integration of the Mask R-CNN model.
setupsrgb-dstereorgbieee
BertaBescos/EmptyCities
Jul 2018 - Feb 2019
Contributions:285 commits, 15 pushes, 2 comments in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.