Artur Gasparyan

Research Engineer at KTH Royal Institute of Technology

Stockholm, Sweden
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Summary

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Senior
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Top School
Artur Gasparyan is a Research Engineer at KTH with nine years of experience applying generative models and embodied AI to real-world problems. He has bridged academic and industrial work—from extending NeRFs with diffusion models for autonomous driving during his master’s thesis to building production LLM-powered search and RAG pipelines at Ericsson serving thousands of users. His recent research blends multimodal perception (including novel olfactory integration) with contrastive learning and diffusion-based visual decoding, reflecting a curiosity for sensor-rich embodied systems. Comfortable scaling experiments on multi-GPU clusters and deploying containerized ML services, he focuses on solutions that are both technically innovative and practically useful. Open to collaborations across research, open-source, and product projects, he brings a thoughtful, engineering-first approach to pushing the boundaries of machine learning.
code9 years of coding experience
job2 years of employment as a software developer
bookGymnasieexamen Teknikvetenskap, Gymnasieexamen Teknikvetenskap at Tullängsgymnasiet
bookMaster of Engineering - MEng Computer Science and Engineering, Master of Engineering - MEng Computer Science and Engineering at Chalmers University of Technology
languagesEnglish, Swedish, Russian
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Stackoverflow

Stats
127reputation
729reached
13answers
1question
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Github Skills (40)

camera-api10
intel10
hardware10
payment-methods10
sdk10
in-app-purchase10
computer-vision10
realsense9
clustering8
multiple-dispatch8
nearest-neighbors7
nodejs7
similarity7
react7
3d-reconstruction7

Programming languages (5)

DockerfileC++JavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:106 commits, 14 pushes in 1 month
gasparyanartur/neurad-studio

Apr 2024 - Mar 2025

[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
Contributions:253 pushes, 10 branches in 11 months
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