Reshma Thomas Email & Phone Number
@amazon.com
2 phones found area 206
LinkedIn matched
Who is Reshma Thomas? Overview
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Reshma Thomas is listed as ML Engineering Manager - Artificial General Intelligence @ Amazon at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 206, and a matched LinkedIn profile for Reshma Thomas.
Reshma Thomas previously worked as Software Development Manager - Speech Recognition Personalization at Amazon and Software Development Manager - Paralanguage Understanding at Amazon. Reshma Thomas holds Btech, Computer Science And Engineering from National Institute Of Technology Calicut.
Email format at Amazon
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AeroLeads found 2 current-domain work email signals for Reshma Thomas. Compare company email patterns before reaching out.
About Reshma Thomas
My career objective is to work on challenging projects providing opportunity for continuous learning and to promote innovation and team spirit in all my endeavours.
Listed skills include Algorithms, Data Structures, C++, Java, and 10 others.
Reshma Thomas's current company
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Reshma Thomas work experience
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Software Development Manager - Speech Recognition Personalization
I lead a team of SDEs that work on ML Engineering problems at scale to help Alexa understand customer specific requests better. We work in close collaboration with Speech Recognition scientists to build distributed systems that can help productionize ever-evolving cutting-edge speech recognition and personalization machine learning models to deliver a personalized Alexa to the end customer. We have a long and exciting journey ahead of us and we're hiring, come join us!
Software Development Manager - Paralanguage Understanding
Moved from Tech Lead to Software Development Manager on the Paralanguage Understanding team in Alexa leading groups of engineers to build new customer experiences related to detecting non-verbal features associated with speech and adapting responses accordingly. Most recently i lead the team in delivering the Adaptive Listening as an opt-in experience to help become Alexa more patient listener as well as understand stuttered speech better. The team also expanded to handle Sentiment recognition use-cases in 2022.
Senior Software Development Engineer
As part of the Paralanguage Understanding team in Alexa i lead groups of engineers to build new customer experiences related to detecting non-verbal features associated with speech and adapting responses accordingly. Having taken ML courses within Amazon, I've also had the opportunity to contribute to ML model training and evaluation in this space. Some of the key features we've worked on are Whisper, Preferred speaking rate and yet another cool feature that's currently in the works!
Software Development Engineer
As part of the Paralanguage Understanding team in Alexa i lead groups of engineers to build new customer experiences related to detecting non-verbal features associated with speech and adapting responses accordingly. Having taken ML courses within Amazon, I've also had the opportunity to contribute to ML model training and evaluation in this space. Some of the key features we've worked on are Whisper, Preferred speaking rate and yet another cool feature that's currently in the works!
Software Development Engineer
As part of Alexa Speech Recognition (ASR) Infrastructure team i led a group of engineers and built components related to ML model evaluation and reporting automation thereby ensuring only ASR ML models that meet accuracy and latency benchmarks across various dimensions make it to production.
Software Development Engineer
As part of the Amazon Exports and Expansion technology team i build platforms that enables customers to have easy access to products from all over the world. One of the recent large scale platforms i've worked on is a Global Ordering Platform that helps customers browse through stuff listed in Amazon.com from their local Amazon stacks such as Amazon.cn, Amazon.in etc and have a completely local ordering experience.The project involved heavy use of cloud technologies such as high scaling workflows, distributed queues and data storage and retrieval mechanisms for seamless synchronization of product and order information across different stacks.
Software Developer
Worked as part of the development team for Shipment Execution in Amazon Logistics Technology (Amaozn's initiative to build a fast, reliable transportation network that's cost effective). As part of this team i've been working on a distributed execution coordinator platform that converts route plans into specific executable instructions that are then passed on as instructions to- carriers to avail their services as well as facilitate their operations - Fulfillment Centers to give them specifics of how the orders need to be handled (picked, sorted, loaded, unloaded etc)
Software Development Engineer
Worked as part of the development team of Transportation Invoice Processing System - A highly scalable and extendable automated auditing platform for validating and auditing carrier invoices and making payments automatically. The system has a pluggable architecture and is highly scalable owing to the smart use of various cloud technologies including the Amazon Simple Workflow Framework (similar to MapReduce).I've also worked on design and development of invoice generation frameworks for China Carriers at Amazon.com – A framework for generating different kinds of invoices from manifest data for carriers which lack technology to generate invoicesI also take great interest in organizing team building activities including team outings
Software Development Intern
Worked on Performance Profiling (using .net along with Aspect Oriented Programing) for MSQuote ( a quotation application dealing with major part of revenue in Microsoft) and a reporting application for the same using WPF(Windows Presentation Framework).
Colleagues at Amazon
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John Paul Smith
Colleague at AmazonBlackrock, Dún Laoghaire-Rathdown, Ireland
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Haris Subramanian S
Colleague at AmazonChennai, Tamil Nadu, India
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Rk Saab
Colleague at AmazonDubai, United Arab Emirates
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Michael Bowes
Colleague at AmazonGreater Philadelphia, United States
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Emanuel Medina
Colleague at AmazonSantiago, Santiago Metropolitan Region, Chile
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Aiswarya Krishna
Colleague at AmazonBengaluru, Karnataka, India
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Merouane Khathothi
Colleague at AmazonHouston, Texas, United States
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JA
Josh Abel
Colleague at AmazonAbuja, Federal Capital Territory, Nigeria
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PJ
Phylicia Jordan
Colleague at AmazonHesperia, California, United States
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Sk Miraj
Colleague at AmazonRajarhat, West Bengal, India
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Reshma Thomas education
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National Institute Of Technology Calicut
Frequently asked questions about Reshma Thomas
Quick answers generated from the profile data available on this page.
What company does Reshma Thomas work for?
Reshma Thomas works for Amazon.
What is Reshma Thomas's role at Amazon?
Reshma Thomas is listed as ML Engineering Manager - Artificial General Intelligence @ Amazon at Amazon.
What is Reshma Thomas's email address?
AeroLeads has found 2 work email signals at @amazon.com for Reshma Thomas at Amazon.
What is Reshma Thomas's phone number?
AeroLeads has found 2 phone signal(s) with area code 206 for Reshma Thomas at Amazon.
Where is Reshma Thomas based?
Reshma Thomas is based in Seattle, Washington, United States while working with Amazon.
What companies has Reshma Thomas worked for?
Reshma Thomas has worked for Amazon, Amazon India Private Ltd, and Microsoft.
Who are Reshma Thomas's colleagues at Amazon?
Reshma Thomas's colleagues at Amazon include John Paul Smith, Haris Subramanian S, Rk Saab, Michael Bowes, and Emanuel Medina.
How can I contact Reshma Thomas?
You can use AeroLeads to view verified contact signals for Reshma Thomas at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Reshma Thomas attend?
Reshma Thomas holds Btech, Computer Science And Engineering from National Institute Of Technology Calicut.
What skills is Reshma Thomas known for?
Reshma Thomas is listed with skills including Algorithms, Data Structures, C++, Java, Distributed Systems, C, Algorithm Design, and Sql.
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