Senior Software Development Engineer at Amazon Web Services
Greater Seattle Area
Amazon
Software Development Engineer Intern at Amazon Search and Discovery
May 2012 to August 2012
Greater Seattle Area
Amazon Web Services
Senior Software Development Engineer
Greater Seattle Area
Amazon Web Services
Software Development Engineer II at Amazon S3
April 2017 to June 2018
Greater Seattle Area
Amazon
Software Development Engineer II at Amazon Selection and Catalog Systems
October 2015 to March 2017
Greater Seattle Area
Columbia University
Teaching Assistant
September 2012 to December 2012
Greater New York City Area
Columbia University
Teaching Assistant
January 2012 to May 2012
Greater New York City Area
Wipro Technologies
Analyst Programmer
May 2009 to May 2011
Pune Area, India
Amazon
Software Development Engineer at Amazon Search and Discovery
February 2013 to September 2015
Greater Seattle Area
Scholar's Home Public School, Bhopal
Higher Secondary, Maths & Science, 78
2002 to 2003
Columbia University in the City of New York
MS, Computer Science, 4.06/4.0
2011 to 2012
Shri G S Institute of Technology & Science
B.E, Electronics & Telecommunication Engineering; Technology & Science, 74.08
2004 to 2008
What company does Sameer Choudhary work for?
Sameer Choudhary works for Amazon
What is Sameer Choudhary's role at Amazon?
Sameer Choudhary is Software Development Engineer Intern at Amazon Search and Discovery
What industry does Sameer Choudhary work in?
Sameer Choudhary works in the Computer Software industry.
Who are Sameer Choudhary's colleagues?
Sameer Choudhary's colleagues are Amit Surana, Arvind Shastry, Vineet John, Ayush Sood, Vishal Sirohi, Xin Ren, Isael Pelletier, Angelo Comazzetto, Karanbir Randhawa, and Coral Kennett
📖 Summary
Software Development Engineer Intern at Amazon Search and Discovery @ Amazon From May 2012 to August 2012 (4 months) Greater Seattle AreaSenior Software Development Engineer @ Amazon Web Services Working on improving Amazon S3 for our customers. Greater Seattle AreaSoftware Development Engineer II at Amazon S3 @ Amazon Web Services S3 Select – Retrieving Subsets of ObjectsWorked on building efficient, scalable and cost effective querying capabilities for Data Lakes built on top of S3. From April 2017 to June 2018 (1 year 3 months) Greater Seattle AreaSoftware Development Engineer II at Amazon Selection and Catalog Systems @ Amazon Data Science ToolkitDeveloped a scalable easy to use system for our science teams to quickly iterate on data science experiments. The system allowed users to develop ML models (traditional and deep learning) using Jupyter notebooks and use those models for scoring large datasets using distributed applications like Spark. It allowed them to access highly confidential data using S3 CSE using spark-redshift library for training and predictions easily. As a part of the project, I also worked on solutions to enable one click deployment of tested models to production using Docker containers and AWS ECS. From October 2015 to March 2017 (1 year 6 months) Greater Seattle AreaTeaching Assistant @ Columbia University Acted as a Teaching Assistant for COMS W4111 Introduction to Databases class, under Prof. Alexandros Biliris From September 2012 to December 2012 (4 months) Greater New York City AreaTeaching Assistant @ Columbia University Acted as a Teaching Assistant for COMS W4111 Introduction to Databases class, under Prof. Luis Gravano From January 2012 to May 2012 (5 months) Greater New York City AreaAnalyst Programmer @ Wipro Technologies - Analyzed and designed solutions for large scale project and, developed modules requiring expertise of business rule engine- Analyzed and proposed data driven solutions to reduce pre-integration testing time by over 60%- Acted as primary support for critical production releases requiring in-depth functional and technical system understanding From May 2009 to May 2011 (2 years 1 month) Pune Area, IndiaSoftware Development Engineer at Amazon Search and Discovery @ Amazon Worked on solving key catalog data quality issues, specifically:1. Brand normalization2. Reducing impact of keyword spam from Amazon search results3. Mining insights using public (catalog) and highly confidential (click stream) datasets.4. Identifying missing data in catalog and providing a measure for estimating the extent of missing data5. Maintaining Amazon Redshift cluster containing TBs of compressed datasets that were frequently used by multiple Catalog Quality teams for analysis. From February 2013 to September 2015 (2 years 8 months) Greater Seattle Area
Introversion (I), Intuition (N), Thinking (T), Judging (J)
1 year(s), 2 month(s)
Unlikely
Likely
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