Yonatan Ahituv is a UCLA Computer Engineering student and undergraduate researcher with nine years of hands-on experience across software, documentation, and hardware-adjacent projects. He applies signal processing and machine learning—recently using blind source separation on CPU electromagnetic side-channels—to extract instruction-level information, and has prototyped control pipelines for soft and swarm robotics using MATLAB and PyTorch. In parallel he builds user-facing documentation with Markdown and React (Docusaurus) to bridge technical work and customer onboarding, and tutors peers in IoT engineering labs. His open-source work is available on GitHub, and outside the lab he channels curiosity into practical projects and a noted enthusiasm for capybaras, hinting at a playful but focused approach to problem solving.
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Contributions:70 commits, 1 PR, 69 pushes in 1 year 9 months
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