Software Engineer at Allen Institute for Neural Dynamics
Seattle, Washington, United States
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Summary
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Senior
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Top School
Anjal Doshi is a software engineer with eight years of experience building tools for multichannel electrophysiology at the Allen Institute for Neural Dynamics. He combines full-stack engineering for scientific instrumentation with a graphics programming background, having worked on OpenGL/Vulkan projects and contributed key fixes and features to the open-ephys LFP viewer and plugin installer. Based in Seattle, he brings domain expertise in signal visualization and data recording workflows alongside systems-level experience from graduate work and grading in parallel and systems courses. Colleagues rely on him for pragmatic, low-level solutions that improve reliability and UX in neuroscience data pipelines.
8 years of coding experience
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at UKA TARSADIA UNIVERSITY
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Washington Bothell
Software for processing, recording, and visualizing multichannel electrophysiology data
Role in this project:
Full-stack Developer
Contributions:19 releases, 4 reviews, 239 commits in 2 years 10 months
Contributions summary:Anjal's contributions focused on the LFP Viewer component, a software for processing, recording, and visualizing multichannel electrophysiology data. The commits involved fixing bugs related to updating values and line endings in the LfpDisplayNode, which is responsible for displaying the signal data. They also implemented features such as plotting averages instead of interpolation and enabling the support for various layout options. Furthermore, the user improved the Plugin Installer by addressing issues and adding features like filter types and handling version upgrades.
Plugin for the Open Ephys Acquisition Board / Intan RHD USB Interface Board
Contributions:2 releases, 23 pushes, 4 branches in 2 years 10 months
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Anjal Doshi - Software Engineer at Allen Institute for Neural Dynamics