Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Shreya Kamath is listed as Machine Learning Manager, Personalization at Amazon, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Shreya Kamath.
Shreya Kamath previously worked as Senior Software Development Engineer, Personalization at Amazon and Software Development Engineer ll at Amazon. Shreya Kamath holds Master'S Degree, Computer Science from University Of Wisconsin-Madison.
This section adds company-level context without repeating Shreya Kamath's masked contact details.
Review company-level records connected to Shreya Kamath before choosing the right outreach path.
Shreya Kamath is a Machine Learning Manager, Personalization at Amazon. She possess expertise in python, data structures, systems design, java, project management and 10 more skills. She is proficient in French.
Listed skills include Python, Data Structures, Systems Design, Java, and 11 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Seattle, WA, US
Leading a team to build machine learning models, scalable engineering systems, low latency high availability online services and large scale A/B experiments to make ranking decisions for content, images, rendering elements and features across retail surfaces world wide. Experience with building a team (hire, onboard, train, develop, promote, retain).
Seattle, WA, US
Design, implemented and deployed a content ranking system that uses multi armed bandit models and counterfactual models to rank organic and sponsored content on four high traffic amazon retail surfaces worldwide. Developed goal roadmap by collaborating with 3 organizations, bi-weekly written goal status review, presenting science, engineering and.
Seattle, WA, US
Designed and implemented a training library and a MXNet feed forward deep learning model for performing content ranking on 18 amazon retail surfaces with a cold start algorithm to surface new content. Designed and implemented a system that used Spark and AWS services (Lambda, SNS, DynamoDB, EMR) to ingest and featurize 100GB+ of raw data daily to train a.
Seattle, WA, US
Designed and implemented a library that uses AWS services (Batch, ECS, S3, EFS, EBS, Cloudwatch), and docker containers to build 15+ product recommendation models daily and perform automated hyper parameter tuning.
Seattle, WA, US
Built logistic regression ML models to monitor a distributed fleet of multi-AZ AWS Elasticache nodes to predict whether a cluster will experience replication lag with 60-75% recall
Madison, WI, US
Research and development of the Software Assurance Marketplace(SWAMP) which provides the physical infrastructure and software resources necessary to detect security vulnerabilities in projects across various development languages and environments.Developed modules to analyze and extract code vulnerability trends and statistics from data (500GB) obtained by.
San Jose, California, US
Development of the NetApp 7-Mode Transition Tool.Worked on the modules to automate the process of migrating FlexVol volumes and configuration from Data ONTAP filers operating in non-clustered mode to filers operating in a clustered environment.Worked on the transition of the following modules:primary and secondary volumes,SnapMirror data protection.
San Jose, California, US
Development and maintenance of the NetApp 7-Mode Transition Tool.Worked on the module to automate the process of collecting information from the non-clustered Data ONTAP controllers, assessing the feature gaps between the controllers, migrating data, applying configuration changes, and performing environmental changes to the cluster.Solved customer raised.
San Jose, California, US
Designed and developed the FSG FIT Automation Web Tool for scheduling and deploying test suites on NetApp storage controllers for functional systemic testing.The tool managed reservation and health monitoring of storage controllers and clients.It monitored the status of deployed test suites, provided a dashboard to view team and sub-project specific test.
Bangalore, Karnataka, IN
Developed a voice recorder with an audio level meter to record, playback, manage and upload audio clippings to a central database. Users need to record 200 sentences in three languages, which are used as input to a text to speech engine.
Quick answers generated from the profile data available on this page.
Shreya Kamath works for Amazon.
Shreya Kamath is listed as Machine Learning Manager, Personalization at Amazon.
Shreya Kamath is based in Seattle, Washington, United States while working with Amazon.
Shreya Kamath has worked for Amazon, Amazon Web Services, University Of Wisconsin-Madison, Netapp, and Indian Institute Of Science - Medical Intelligence And Language Engineering Lab(Mile).
You can use AeroLeads to view verified contact signals for Shreya Kamath at Amazon, including work email, phone, and LinkedIn data when available.
Shreya Kamath holds Master'S Degree, Computer Science from University Of Wisconsin-Madison.
Shreya Kamath is listed with skills including Python, Data Structures, Systems Design, Java, Project Management, Machine Learning Algorithms, Web Services, and Big Data.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts