Károly Harsányi
Senior Machine Learning Engineer at Parallel Domain
Karlsruhe, Baden-Württemberg, Germany
Summary
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Top SchoolKároly Harsányi is a Senior Machine Learning Engineer based in Karlsruhe with 8 years of experience building production-ready deep learning and computer vision systems. He has led end-to-end ML projects across autonomous driving, large-scale livestream content analysis, and recommendation/churn pipelines, combining research-grade methods with pragmatic deployment and monitoring. At Parallel Domain and Byborg he translated complex sensor and user data into robust models, while earlier work at Bosch and MTA SZTAKI focused on 3D LiDAR perception, driver behavior prediction, and peer-reviewed research. He blends a strong mathematical foundation (MSc in Applied Mathematics and Computer Science) with hands-on engineering—data collection tooling, offline validation pipelines, and scalable inference. Notably, he’s comfortable moving between academic publication and high-throughput production systems, making him effective at both prototyping novel models and operationalizing them.
7 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Applied Mathematics - Computer Science, Master of Science (MSc) Applied Mathematics - Computer Science at Eötvös Loránd University
English, Hungarian
Github Skills (33)
depth-estimation10
convolutional-neural-networks10
rgb10
depth10
deep-learning8
keras8
machine-learning8
nvidia8
nvidia-docker8
pytorch7
onnx7
hardware-acceleration7
inference7
gpu7
tensorflow7
Programming languages (3)
Github contributions (5)
karoly-hars/3D_scene_reconstruction_CNNs
Jun 2018 - Feb 2020
Contributions:39 commits, 36 pushes, 1 branch in 1 year 8 months
karoly-hars/GANs_for_cats_and_flowers
Jun 2019 - Sep 2020
Contributions:39 commits, 24 pushes in 1 year 3 months
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