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@amazon.com
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4 phones found area 218, 408, and 800
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Atul Kulkarni is listed as Engineering Leader @ Amazon Rufus (GenAI) | LLM | NLP | AI at Amazon, based in Mountain View, California, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 218, 408, 800, and a matched LinkedIn profile for Atul Kulkarni.
Atul Kulkarni previously worked as Engineering Leader @ Amazon Rufus at Amazon and Engineering Manager @ Amazon Alexa at Amazon. Atul Kulkarni holds Ms, Computer Science from University Of Minnesota Duluth.
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AeroLeads found 1 current-domain work email signal for Atul Kulkarni. Compare company email patterns before reaching out.
I am a seasoned engineering manager with 19 plus years of professional experience, that includes more than 7+ years as a manager starting with a small & scrappy team, an ambiguous problem, and ambitious goals, to scale the product to millions of customers and the org to more than 3 high performance teams.
Listed skills include Software Development, Python, Algorithms, Linux, and 31 others.
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Seattle, WA, US
As a founding member for Amazon Rufus (the world's first GenAI Shopping Assistant), I started the team with a small team of engineers and grew the org to more than 36 engineers and managers spread across three teams, to launch Rufus across the world (millions of MAUs).My teams own the entire workflow orchestration system that applies business logic, does.
Seattle, WA, US
My teams built CXes that enable Alexa to answer customer's product questions on Amazon.com and Amazon's mobile app. To do this,* We built near real-time NLU systems that understand customer's query intent and provide them with the best answer possible. * We ran a low latency query intent classifier, a low latency service to answer classified questions and.
US
I designed and built, next-gen data processing pipelines and query API using Apache Spark, HBase, Apache Ignite, Hadoop to do the following:* Implement scalable data partitioning methods to enable counting trillions on events via batch * streaming jobs using Count Min Sketch and HyperLogLog probabilistic data structures* Implement Information Retrieval.
US
I worked on building look-a-like models for increasing audience reach for given audiences using LDA topic modeling methods. I primarily worked on building end to end pipeline to build topic models on user profiles and deployed the models to predict matching profiles on a daily basis.
Aliso Viejo, CA, US
Worked on NetVault Backup product designing and developing features. I worked on the Database replacement feature and design of prototype for the meta-data search.
San Jose, California, US
NetBackup product development, working on new feature development and maintenance work.
Duluth, MN, US
Minneapolis And St. Paul, Minnesota, US
* Social media analytics, Facebook, Twitter API* worked on problems like Text Classification, Document Classification, etc.* implementation of Genetic Algorithm for flow control parameter adjustment, using C++, STL, Boost library, on Linux and Windows platform.
Minneapolis And St. Paul, Minnesota, US
Assignment evaluation, Conducting Labs, exam evaluations, office hours for solving student difficulties.
San Jose, California, US
Plano, TX, US
Costa Mesa, CA, US
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Atul Kulkarni works for Amazon.
Atul Kulkarni is listed as Engineering Leader @ Amazon Rufus (GenAI) | LLM | NLP | AI at Amazon.
AeroLeads has found 1 work email signal at @amazon.com for Atul Kulkarni at Amazon.
AeroLeads has found 4 phone signal(s) with area code 218, 408, 800 for Atul Kulkarni at Amazon.
Atul Kulkarni is based in Mountain View, California, United States while working with Amazon.
Atul Kulkarni has worked for Amazon, Oracle (Bluekai), Dell (Quest Software), Symantec, and Saturn Systems, Inc..
You can use AeroLeads to view verified contact signals for Atul Kulkarni at Amazon, including work email, phone, and LinkedIn data when available.
Atul Kulkarni holds Ms, Computer Science from University Of Minnesota Duluth.
Atul Kulkarni is listed with skills including Software Development, Python, Algorithms, Linux, C++, Agile Methodologies, C, and Distributed Systems.
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