Joaquim Escobar
Software Engineer, Applied Machine Learning at Google
Tokyo, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJoaquim Escobar is a software engineer focused on applied machine learning, with a decade of experience building production-grade systems for satellite imagery and computer vision. He designed and implemented AxelGlobe’s end-to-end data pipeline at Axelspace, transforming raw satellite captures into radiometrically calibrated, geo-rectified products served via API. A proficient Python and C++ developer, Joaquim blends research-led computer vision expertise from Kyoto University with practical deployment experience at global firms including Google, IBM, and Honda Research. Now working in applied ML roles at Google across London and Kraków, he brings deep domain knowledge in remote sensing pipelines and image calibration. Colleagues rely on him to bridge algorithmic rigor and engineering robustness—turning complex sensor data into usable, production-ready assets. He’s equally comfortable prototyping novel CV models and hardening them for scale in distributed environments.
10 years of coding experience
7 years of employment as a software developer
High School, High School at IES El ClotResearch Student - Department of Intelligence Science and Technology Computer Vision, Research Student - Department of Intelligence Science and Technology Computer Vision at Kyoto UniversityUniversitat Politècnica de València
English, Spanish, Japanese, Korean
Github Skills (14)
pytorch10
jupyter-notebook10
deep-learning10
machine-learning9
visual-recognition6
self-supervised-learning6
supervised-learning6
arxiv5
extensible4
computer-vision4
modular4
resnet3
scalable3
vision-transformer3
Programming languages (3)
Github contributions (5)
xcastilla/reading_list
Sep 2020 - May 2021
Contributions:6 pushes, 1 branch in 8 months
xcastilla/pytorch-Deep-Learning
Sep 2020 - Sep 2020
Deep Learning (with PyTorch)
Contributions:6 pushes, 6 branches in 6 days
pytorchcaffe2deep-learningtorchconvolutional-neural-network
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