Tanya Vedi
Senior Software Engineer at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTanya Vedi is a Senior Software Engineer based in Seattle with nine years of experience building large-scale, customer-facing systems and generative AI products at Amazon. As lead engineer in Amazon’s Builder Labs, she architects agentic platforms that accelerate product launch workflows—spanning intent understanding, design blueprints, code search, and code generation—to help internal builders move from idea to deployment faster. Her background includes shipping payments infrastructure like Paidy Invoicing and US CBCC that served millions, and earlier roles at Microsoft, Intuit, and Morgan Stanley that strengthened her full-stack and reliability engineering expertise. Tanya combines product-minded technical leadership with hands-on implementation, guiding teams from strategy through measurable delivery. A GHCI scholar and CSE graduate from IGDTUW, she’s known for marrying curiosity with pragmatic systems design to improve agent reliability and developer productivity.
9 years of coding experience
7 years of employment as a software developer
High School, High School at Plato Public Sr. Sec. SchoolBachelor's degree, Computer Science and Engineering , Computer Science, Bachelor's degree, Computer Science and Engineering , Computer Science at Indira Gandhi Delhi Technical University for Women
Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (72)
javascript9
markdown9
web-application9
coder9
excel9
pullrequest9
technical-writing9
open-source9
react9
clustering-algorithm9
android9
filtering8
capi8
digitalocean8
web-development8
Programming languages (8)
Github contributions (5)
LeanInIGDTU/Beginners
Nov 2017 - Feb 2018
C, C++, Java and Web Development code for students of Lean-In, IGDTU.
Contributions:42 commits, 27 PRs, 32 pushes in 3 months
cppjavaweb-development
tanya-vedi/SmartCityFramework
Oct 2018 - Oct 2018
Design and development of a framework of smart cities for intelligent processing data analysis.
Contributions:16 commits, 7 PRs, 13 pushes in 4 days
data-analysis
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