Jort Bergfeld

AI Frameworks Engineer at Intel Corporation

Groningen, Groningen, Netherlands
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Summary

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Rockstar
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Top School
Jort Bergfeld is an AI Frameworks Engineer based in Groningen with four years of professional software experience, currently contributing to Intel’s OpenVINO Toolkit as a backend developer. With a strong foundation in mathematics (Master’s and PhD studies) and prior roles building Python-based risk engines at Rabobank, he blends rigorous analytical thinking with practical production deployment on Azure and Kubernetes. He has hands-on expertise across Python, C#, deep learning frameworks, and performance optimization for real-time assessments, and he mentors junior engineers while owning timelines and delivery. Notably, his background spans academia and industry—from PhD research to shipping scalable AI tooling—giving him a rare combination of theoretical depth and production-focused engineering.
code4 years of coding experience
job3 years of employment as a software developer
bookHigh School, Natuur en Techniek, High School, Natuur en Techniek at GSg Schagen
bookBachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at University of Amsterdam
bookMaster’s Degree, Mathematics Teacher Education, Master’s Degree, Mathematics Teacher Education at University of Groningen
languagesEnglish, Dutch
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Github Skills (29)

image-classification10
imagenet10
incremental-learning10
openvino10
datasets10
semi-supervised-learning10
nvidia10
image-segmentation10
self-supervised-learning10
coco10
automl10
raw-image10
object-detection10
quantization10
computer-vision10

Programming languages (2)

TypeScriptPython

Github contributions (4)

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open-edge-platform/geti_v2

Apr 2025 - Sep 2025

⚠️ Legacy repository for Geti v2.x. For Geti v3.0+, visit https://github.com/open-edge-platform/geti
Contributions:27 reviews, 24 PRs, 57 pushes in 4 months
computer-visiondeep-learningfine-tuninginferenceopenvino
open-edge-platform/datumaro

Oct 2025 - Feb 2026

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Contributions:18 reviews, 8 PRs, 35 pushes in 4 months
clicomputer-visionpythondeep-learningneural-networks
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