Aditya Vyas
Software Engineer at stellar
New York, New York, United States
Summary
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RockstarAditya Vyas is a software engineer based in New York with a decade of hands-on experience building backend systems and shipping production web features. He has contributed meaningfully to the well-known open-event-server project, enhancing event management, admin flows, speaker forms, sponsor creation, and payment integrations. Comfortable working across server-side logic while keeping user-facing workflows intact, he blends pragmatic engineering with product-minded thinking. His work suggests strong expertise in API-driven architectures and payments-related features that bridge backend services and UI requirements. Colleagues would find him reliable for maintaining stability while iterating on event platform capabilities.
10 years of coding experience
Github Skills (6)
back-end-development10
python10
django10
html7
css6
javascript6
Programming languages (15)
Github contributions (5)
fossasia/open-event-server
Dec 2015 - Aug 2016
The Open Event Organizer Server to Manage Events https://test-api.eventyay.com
Role in this project:
Back-end Developer
Back-end DeveloperContributions:402 commits, 268 PRs, 66 pushes in 8 months
Contributions summary:Aditya primarily contributed to the server-side logic of the Open Event Organizer Server by modifying and updating code related to event management, user interfaces, and payment features. Their commits involved changes to the admin menu, sponsor creation, speaker forms, and the addition of payment-related details. These contributions show a focus on enhancing the functionality of the back-end while maintaining the user interface.
api-testapieventsorganizer
aditya1702/Machine-Learning-and-Data-Science
Feb 2018 - Mar 2020
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
Contributions:1 release, 34 commits, 86 pushes in 2 years
implementationsreinforcement-learning-algorithmspythonscienceai-machine-learning
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