
Shweta Garg
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About me
Senior Applied Scientist @ AWS AI Labs (Code GenAI - AmazonQ & CodeWhisperer) | ex-Amazon Search (A9) | ex-CoreML
Education

Indian Institute of Technology, Bombay
2010 - 2013M.Tech. Computer Science and Engineering
College Of Technology, G.B.P.U.A&T, Pantnagar
2006 - 2010Bachelor's degree Computer Science and Engineering
Experience

Indian Institute of Technology, Bombay
Jul 2010 - Jun 2013Research AssistantWorked on a joint project between BARC (Bhabha Atomic Research Center), TIFR (Tata Institute of Fundamental Research), and IIT Bombay to monitor and formally verify correctness properties of real-time systems.

LIPN, Université Paris 13
Jun 2012 - Jul 2012InternProposed an algorithm for parametric time petri nets which quantifies robustness of a system by measuring the maximum extension of timing delays such that the system still satisfies its specification. Publication: - Robustness analysis of time Petri nets (NWPT - 2012)

Oracle
Jul 2013 - Nov 2014Application DeveloperMember of Knowledge Foundation and Search team which provides APIs for customer support services

Indix
Nov 2014 - Mar 2016Data ScientistWorked in the startup to build a broad and deep product catalog to enable developers to create product-aware applications. - Built NER models to extract important attributes from Product Titles.- Created models for Product Matching at scale.

Amazon
Apr 2016 - Jun 2019Applied ScientistI was a founding member of a 5-person team that launched a Question Answering system for Amazon retail product pages on mobile, which was key to achieving an S-team goal.

A9.com
Jun 2019 - Apr 2024Senior Applied ScientistFrom 2019-2024, I worked in Amazon Search (A9), and collaborated cross-functionally with various teams to deliver high business impact wins for a few key problems - improving widget coverage and quality on Amazon Search pages; enhancing Autocomplete ranker state-of-the-art across 20 marketplaces; and leading quality control (entity deduplication, denoising, and analytics) for the Shopping Graph to enable high-quality shopping ideas for various upper funnel search initiatives. I was also a Search weblab bar raiser to maintain/improve the bar on the quality of A/B testing across Query Understanding, Matching, Ranking, SCX, and Widget weblabs by carefully reviewing and signing off on pre-experiment design and post-experiment analysis. Show less
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Amazon Web Services (AWS)
Apr 2024 - nowSenior Applied ScientistWorking @ AWS AI Labs (Code Generation - AmazonQ & CodeWhisperer).
Licenses & Certifications
- View certificate

Machine Learning
CourseraJan 2014
Languages
- enEnglish
- hiHindi
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