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Ankur Garg

Google | IIT Delhi | NCSU

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About

Ankur Garg is a highly skilled software engineer with extensive experience in both front-end and back-end development. Currently working at Google as a Software Engineer, Ankur has previously worked at YouTube Kids as a backend developer. Ankur's experience includes working on open-source TEMOA Energy Model at North Carolina State University, where he managed the core code repository and the Django server hosting the application. He also restructured the code and improved runtime for UI visualizations by more than 70%, added the ability to generate new visualizations on the front end, automated the process of setting up the application on a new server, and improved the front-end interface. Ankur has also worked as a Data Science Intern at Sysomos, where he developed image classifiers and detectors using caffe-based deep neural networks for multiple categories. He improved the precision for two classifiers and one detector by almost 10-20% by identifying issues in data and classes and by improving the training parameters. Ankur also developed an Anomaly Detection system for an alert system product to detect anomalies in time-series data using HTM (Numenta) and generate meaningful alerts to be sent to customers using Kafka. Ankur has a Bachelor's Degree in Computer Science and Engineering from the Indian Institute of Technology, Delhi, and a Master of Science (M.S.) in Computer Science from North Carolina State University. He has a diverse technical skill set that includes software engineering, front-end and back-end development, research science, Django, UI, data science, testing, TensorFlow, neural networks, and Kafka. With almost 6 years of relevant experience, Ankur is a highly motivated and driven individual who is passionate about creating innovative solutions to complex problems.

Education Overview

north carolina state university

iit delhiindian institute of technology delhi

Companies Overview

google

sysomos

north carolina state university

samsung

cavium networks

Experience Overview

8 Years

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Experience

Software Engineer

google

2018 - Present

Data Science Intern

sysomos | Raleigh, North Carolina

2017 - 2018

Research Assistant

north carolina state university | Raleigh-Durham, North Carolina Area

2017 - 2017

Senior Software Engineer

samsung | Bangalore

2014 - 2016

Student Intern

samsung | Bengaluru Area, India

2013 - 2013

Intern

cavium networks | Hyderabad Area, India

2012 - 2012

Skills

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AJAX

Ansible

Automation

CI/CD

CSS

Deep Neural Networks (DNN)

Django

Frontend

HTML

Java

JavaScript

Kafka

Machine Learning

Neural Networks

Node.js

open source

Oracle SQL

PHP

Python

Software Engineer

SQL

Tensorflow

test

testing

ui

Contact Details

Email (Verified)

conXXXXXXXXXXXXXXXXXXXXXom

Mobile Number

919XXXXX70

Education

north carolina state university

Master of Science (M.S.)

2016 - 2018

iit delhiindian institute of technology delhi

Bachelor’s Degree

2010 - 2014

Frequently asked questions

What company does Ankur Garg work for?

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Ankur Garg works for google

What is Ankur Garg role in his workplace?

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Ankur Garg's role in his workplace is Software Engineer

What is Ankur Garg's tenure in his workplace?

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Ankur Garg's tenure in his workplace is 6.34 years

What is Ankur Garg's total experience?

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Ankur Garg's total experience is 8.00 years

What is Ankur Garg's LinkedIn profile?

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Ankur Garg's LinkedIn profile can be found here

What is Ankur Garg's email address?

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Ankur Garg's email address is conXXXXXXXXXXXXXXXXXXXXXom. Unlock here

What is Ankur Garg's phone/WhatsApp number?

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Ankur Garg's phone number is 919XXXXX70. Unlock here

What schools did Ankur Garg attend?

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Ankur Garg has attended north carolina state university, iit delhiindian institute of technology delhi

What companies has Ankur Garg worked with?

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Ankur Garg has worked with google, sysomos, north carolina state university, samsung, samsung, cavium networks

What are some of Ankur Garg's skills?

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Ankur Garg has skills in AJAX, Ansible, Automation, CI/CD, CSS, Deep Neural Networks (DNN) and more.

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