Artur Gasparyan
AI Research Intern at Huawei Sweden R&D
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolArtur 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.
9 years of coding experience
3 years of employment as a software developer
Gymnasieexamen, Engineering Science, Gymnasieexamen, Engineering Science at TullängsgymnasietMaster of Engineering - MEng, Computer Science and Engineering, Master of Engineering - MEng, Computer Science and Engineering at Chalmers University of Technology
English, Swedish, Russian
Github Skills (25)
camera-api10
hardware10
sdk10
realsense9
computer-vision9
multiple-dispatch8
clustering7
3d-reconstruction7
react6
nodejs6
3d6
browser-extension6
typescript5
machine-learning5
3d-graphics5
Programming languages (7)
Github contributions (5)
gasparyanartur/wifi-controlled-robot-car
Jun 2022 - Aug 2022
Contributions:106 commits, 15 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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