Sashank Aryal
Principal Software Engineer at Voxel51
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolSashank Aryal is a Principal Software Engineer based in New York with five years of professional experience building production-grade systems for robotics and multimodal visual AI. Currently leading a team at Voxel51, he focuses on core system development and has hands-on full‑stack contributions to the popular open-source FiftyOne project, improving dataset handling, UI components, and media rendering. His background includes impactful engineering roles at Amazon Global Robotics and Ascent Robotics, giving him material experience in scalable, real‑time systems and robotics software. Sashank pairs a Georgia Tech MS in Computer Science with a liberal arts undergraduate perspective, which shows up in his pragmatic, user-focused approach to complex technical problems.
5 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyBachelor's degree Liberal Arts and Sciences/Liberal Studies, Bachelor's degree Liberal Arts and Sciences/Liberal Studies at Bennington College
English, Hindi, Nepali, Spanish, Chinese, Japanese
Github Skills (15)
state-management10
typescript10
javascript10
typescripts10
recoiljs10
front-end-development10
react10
typescript-types10
html9
css9
video-processing8
image-processing8
computer-vision6
data-science6
python5
Programming languages (5)
Github contributions (5)
voxel51/fiftyone
Nov 2022 - Jan 2023
Refine high-quality datasets and visual AI models
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:407 reviews, 74 commits, 385 PRs in 2 months
Contributions summary:Sashank contributed to the FiftyOne project by implementing support for nested fields set through the SDK, addressing pull request comments and improving scrolling logic. They also worked on fixing sample URL transformation and fixing an issue with the ESC key in the Looker3d component. Furthermore, the user added several components like the SelectSampleCheckbox and implemented a way to add default visibility for the frame labels. They also fixed bugs in a few components that involve media handling and group rendering.
pytorchpythonvisiondata-sciencedeep-learning
voxel51/fiftyone-rerun-plugin
Oct 2024 - Dec 2024
Modal panel plugin for FiftyOne that can render a rerun data (rrd) file
Contributions:1 review, 6 PRs, 20 pushes in 2 months
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