Joel Oscarsson
Software Developer at Icomera
Gothenburg, Sweden
Summary
🤩
Rockstar🎓
Top SchoolJoel Oscarsson is an AI-focused Software Developer based in Gothenburg with three years of experience building production computer vision solutions for edge and embedded systems. He specializes in crafting and optimizing deep learning models (PyTorch, TensorRT) for real-time tasks like passenger counting, object detection, segmentation and spatio-temporal analytics, and has moved PoCs into deployed customer products. Joel combines hands-on model development, data pipeline and auto-annotation tooling with a practical eye for measurement—designing custom metrics for fuzzy CV tasks—to ensure solutions generalize in the wild. A collaborative teammate and mentor, he thrives on turning complex research into simple, impactful tools and likes to revisit problems to uncover deeper insights, reflecting his “spiral” approach to learning.
3 years of coding experience
1 year of employment as a software developer
Software developer - AI and Machine learning (400YH), Software developer - AI and Machine learning (400YH) at IT-Högskolan
Github Skills (24)
semantic-segmentation8
datasets8
annotations8
labeling7
computer-vision7
deep-learning6
standardized6
image-classification6
image-labeling5
annotator5
text-annotation5
sports-data5
training-data5
label5
data-labeling5
Programming languages (4)
Github contributions (5)
JoelOscarsson/Databehandling-JoelOscarsson
Oct 2022 - Nov 2022
Databehandling
Contributions:64 commits, 1 PR, 57 pushes in 27 days
dataset
JoelOscarsson/GroupProjectOS-Databehandling
Nov 2022 - Nov 2022
During this group project we are investigating the dataset: "120 years of Olympic history: athletes and results". Our country to investigate are China.
Contributions:38 commits, 34 pushes, 2 branches in 9 days
data-scienceathletesdatasetcensuschina
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