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D

Divya Gadde

AI/ML @ Netflix

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About

Divya Gadde is a seasoned Staff Machine Learning Engineer at Twitter, with almost a decade of experience in the field. Currently working on Ads Ranking, she has a strong background in developing machine learning models for various applications. Prior to her current role, Divya worked as a Software Engineer - Machine Learning at LinkedIn, where she built machine learning models to improve job search and job recommendations. She also developed models for detecting abuse and fraud. Before that, she was a Relevance Engineer at WalmartLabs, where she developed category and sub-category recommendation modules for the Email Targeting team's recommendation engine. She is currently working on developing recommendation models for various verticals in Walmart E-commerce and creating a real-time framework for ingesting Walmart Stores' data. Divya holds a Master's Degree in Electrical and Computer Engineering from The University of Texas at Austin and a Bachelor's Degree in Electrical Engineering with a minor in Operations Research from IIT Madras. She has a strong tech stack in ML, Software Engineering, and Search, and has relevant experience of almost 10 years. Divya is a highly skilled and experienced Machine Learning Engineer with a proven track record of developing models for various applications. She has a strong understanding of the underlying algorithms and techniques used in Machine Learning and is capable of developing complex models to solve challenging problems. She is a valuable asset to any team and is always eager to learn and contribute to new projects.

Education Overview

the university of texas at austin

iit madras

Companies Overview

netflix

twitter

linkedin

walmartlabs

the university of texas at austin

national instruments

irunway

ibm

Experience Overview

11.4 Years

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Experience

Research Engineer

netflix | Los Gatos, California, United States

2023 - Present

Staff Machine Learning Engineer

twitter | San Francisco Bay Area

2021 - 2023

Software Engineer - Machine Learning

linkedin | Sunnyvale, California

2016 - 2021

Relevance Engineer

walmartlabs | San Bruno

2015 - 2016

Teaching Assistant for Business Statistics

the university of texas at austin

2014 - 2015

Intern - RF Communications Engineer

national instruments | Austin

2014 - 2014

Associate

irunway | Bangalore

2011 - 2013

Software Development Intern

ibm | Bangalore, India

2009 - 2009

Skills

Boost your visibility and stand out to employers with referrals from your LinkedIn connections.

algorithms

analytics

apache kafka

c

data analysis

git

hbase

hive

java

linux

machine learning

Machine Learning (ML)

matlab

microsoft office

programming

python

research

Research

Research Scientist

Search

simulations

software development

sql

statistical modeling

Contact Details

Email (Verified)

divXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

the university of texas at austin

Master's Degree

2013 - 2015

iit madras

Bachelor's Degree

2006 - 2010

Frequently asked questions

What company does Divya Gadde work for?

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Divya Gadde works for netflix

What is Divya Gadde role in his workplace?

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Divya Gadde's role in his workplace is Research Engineer

What is Divya Gadde's tenure in his workplace?

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Divya Gadde's tenure in his workplace is 1.67 years

What is Divya Gadde's total experience?

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Divya Gadde's total experience is 11.42 years

What is Divya Gadde's LinkedIn profile?

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Divya Gadde's LinkedIn profile can be found here

What is Divya Gadde's email address?

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Divya Gadde's email address is divXXXXXXXXXXXXXXom. Unlock here

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Divya Gadde's phone number is +91XXXXXXXXXX. Unlock here

What schools did Divya Gadde attend?

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Divya Gadde has attended the university of texas at austin, iit madras

What companies has Divya Gadde worked with?

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Divya Gadde has worked with netflix, twitter, linkedin, walmartlabs, the university of texas at austin, national instruments, irunway, ibm

What are some of Divya Gadde's skills?

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Divya Gadde has skills in algorithms, analytics, apache kafka, c, data analysis, git and more.

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