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Surabhi Raje Email & Phone Number

Machine Learning Engineer at Amazon at Amazon Lab126
Location: Mountain View, California, United States 5 work roles 2 schools
1 work email found @lab126.com 1 phone found area 213 LinkedIn matched
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Contact Signals · 1 work email · 1 phone

Work email s****@lab126.com
Direct phone (213) ***-****
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Current company
Role
Machine Learning Engineer at Amazon
Location
Mountain View, California, United States
Company size

Who is Surabhi Raje? Overview

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Quick answer

Surabhi Raje is listed as Machine Learning Engineer at Amazon at Amazon Lab126, a company with 1 employees, based in Mountain View, California, United States. AeroLeads shows a work email signal at lab126.com, phone signal with area code 213, and a matched LinkedIn profile for Surabhi Raje.

Surabhi Raje previously worked as Machine Learning Engineer (Software Developer - NLP - L5) at Amazon Lab126 and Software Developer at Amazon Web Services (Aws). Surabhi Raje holds Master Of Science (M.S.), Computer Science from University Of Southern California.

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Email format at Amazon Lab126

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{first}{last}@lab126.com
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AeroLeads found 1 current-domain work email signal for Surabhi Raje. Compare company email patterns before reaching out.

Profile bio

About Surabhi Raje

I am currently a Machine Learning Engineer - L5 at Amazon. Since 2019, I am working in the Healthtech NLP team to develop Alexa Natural Language Understanding (NLU) features for Amazon Halo fitness band, Echo buds and more in health and fitness domain. My responsibilities include developing deterministic and statistical ML models for NLU support (domain/ intent classification and slot tagging for Alexa customer utterances) and other projects. Previously at Amazon (2016-2019), I worked in the Amazon Web Services org as a Software Developer. As part of the platform team, I worked on multiple projects that helped launch a new AWS service - Alexa for Business - https://aws.amazon.com/alexaforbusiness/. I graduated from USC Viterbi School of Engineering as a MS in Computer Science in 2016. I completed my Bachelors in Computer Science from MIT Pune (India). During undergraduate studies, as a part of Robotics team (25 students), won the national competition (after competing with 100+ universities) and represented India at the ABU Pacific International Robocon (Robotics Contest) held in Hong Kong in 2012 and also Vietnam in 2013. Languages: Python, Java, C++, C#, C, Embedded C/C++ML Tools/Libraries: PyTorch (FastAI, transformers), MXNet (Gluon), numpy, scipy, pandas, matplotlib, scikit-learn, Spacy, NLTK, OpenCV, Matlab, etc.Service/Frameworks AWS, Spring MVC, .NET, Google Guice, LombokVersion Control: Github, PerforcePlatforms: Windows, UNIX

Listed skills include C++, Java, Python, C#, and 16 others.

Current workplace

Surabhi Raje's current company

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Amazon Lab126
Amazon Lab126
Machine Learning Engineer at Amazon
1100 Enterprise Way, Sunnyvale, CA 94043, us
Website
Employees
1
AeroLeads page
5 roles

Surabhi Raje work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer (Software Developer - Nlp - L5)

Current

Sunnyvale, CA, US

  • Launched Alexa support for Echo Buds and Amazon Halo fitness band. Responsible for developing deterministic and statistical models for NLU support. It includes authoring FST grammars, and developed linear and DNN.
  • Designed the entire language schema for Alexa for Halo – Defined the intents, labels, entities to support customer queries for 5 broad domains – fitness, body stats, sleep, tone analysis and overall health.
  • Developed annotation tool to help bootstrap new NLU features. Used to label over >10000 utterances and saved manual effort.
  • Also responsible for debugging offline and online metrics and failures, updating models and entity resolution for Halo.
  • Achieved CSAT (~5.5), GSR (~85%), NLU ER (~3%) targets.
Jul 2019 - Present

Software Developer

Seattle, WA, US

  • 1st engineer in AWS Alexa for Business org. As part of backend platform team, built new AWS service to allow enterprises to deploy and manage Alexa devices. It integrated with multiple Alexa, Amazon retail and various.
  • Responsible for multiple projects - multiple devices per room, remote transfer of devices, announcements on A4B devices, A4B individual user enrollment, private enterprise skill model, federation model for account.
  • Designed and developed 10+ AWS APIs, and also owned the BR review and release of 80+ APIs to public AWS SDK.
Feb 2017 - Jul 2019

Software Developer Intern

Seattle, WA, US

  • Owned the design and development of Device Setup Tool, using C# on.NET platform, to bulk provision Alexa devices for enterprise AWS accounts (1st name for US Patent No: 10,708,265)
  • It involved authenticating AWS customer, detecting all echo devices in Wi-Fi range, communicating with the device using Apache Thrift and configuring Wi-Fi, location and other Alexa settings on the device.
  • By 2018, it was used by over 5000 organizations, with more than 20,000 devices registered using the tool
May 2016 - Dec 2016

Course Producer - Operating Systems (Cs 402), Principles Of Software Development Using Java (Cs 201)

Los Angeles, CA, US

As a Course Producer for Operating Systems (CS-402), under Prof. Bill Cheng, I was responsible for helping USC masters students/fellow batchmates with understanding the OS course material and helping them with the programming assignments by conducting office hours and personal appointments. The assignments are based on implementing a small-scale version of.

Aug 2015 - May 2016

Intern

Santa Clara, CA, US

  • Worked on 3 seminal applications based on the Nvidia 3D Vision product.
  • Developed Stereo 3D libraries and algorithms on Nvidia Graphics Drivers - User/Kernel level development and debugging.
  • Responsible for generation and manipulation of stereo images, image processing and modifying existing graphics rendering pipeline.
  • Embedded system and firmware programming in C - Programmed 3D vision glasses, emitter, working on active/passive monitors.
  • Worked on Microsoft DirectX platform and developed Win32/.NET applications and assistive tools
  • Collaboration tools (Perforce) and software development cycle
Jul 2013 - Apr 2014
Team & coworkers

Colleagues at Amazon Lab126

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2 education records

Surabhi Raje education

Master Of Science (M.S.), Computer Science

University Of Southern California

Bachelor Of Engineering (Be), Computer Engineering

Maharashtra Institute Of Technology
FAQ

Frequently asked questions about Surabhi Raje

Quick answers generated from the profile data available on this page.

What company does Surabhi Raje work for?

Surabhi Raje works for Amazon Lab126.

What is Surabhi Raje's role at Amazon Lab126?

Surabhi Raje is listed as Machine Learning Engineer at Amazon at Amazon Lab126.

What is Surabhi Raje's email address?

AeroLeads has found 1 work email signal at @lab126.com for Surabhi Raje at Amazon Lab126.

What is Surabhi Raje's phone number?

AeroLeads has found 1 phone signal(s) with area code 213 for Surabhi Raje at Amazon Lab126.

Where is Surabhi Raje based?

Surabhi Raje is based in Mountain View, California, United States while working with Amazon Lab126.

What companies has Surabhi Raje worked for?

Surabhi Raje has worked for Amazon Lab126, Amazon Web Services (Aws), Amazon, University Of Southern California, and Nvidia.

Who are Surabhi Raje's colleagues at Amazon Lab126?

Surabhi Raje's colleagues at Amazon Lab126 include Shahbaz Nabi, Alan Collins, Fazih Keezhattil, Lynette Ross, and Emilia Kaczmarek.

How can I contact Surabhi Raje?

You can use AeroLeads to view verified contact signals for Surabhi Raje at Amazon Lab126, including work email, phone, and LinkedIn data when available.

What schools did Surabhi Raje attend?

Surabhi Raje holds Master Of Science (M.S.), Computer Science from University Of Southern California.

What skills is Surabhi Raje known for?

Surabhi Raje is listed with skills including C++, Java, Python, C#, C, Embedded C, Matlab, and Windows.

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