spotify > spotify Employee Directory > Karishma Gulati
karishma-gulati-a0934889
Last updated: Yesterday
Karishma Gulati's Personal Email and Phone Number
Find unlimited person contact information for free with noon.ai.
Karishma Gulati
Engineering Manager II
Get email
(free lookup!)
Get phone #
(free lookup!)
Location: New York, New York, United StatesApprox. Years of Experience: 11
Karishma Gulati's Current Workplace
Spotify
Company Size
2500+
Amount Raised
$2.1B
Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.\n \nSpotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. \n\nToday, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
Show more
Notable Investors
TPG, Goldman Sachs, Telia Company, Lakestar, Accel
Apps
Music
Mobile Apps
Internet Radio
Music Streaming
Subscription Service
Experience
Spotify
Jul 2018 - Present
Engineering Manager II
Jan 2022 - Present
3 yrs 3 mos
Technical Manager | Wrapped'21
Jul 2021 - Jan 2022
7 mos
Responsible for the roadmap, tech delivery, and cross functional work related to the personalized stories and playlists for Wrapped 2021.
Senior Data Engineer
Jan 2021 - Jul 2021
7 mos
Data Engineer II
Jul 2018 - Jan 2021
2 yrs 7 mos
Graduate Student - MEng’18 (EECS)
University of California, Berkeley
Aug 2017 - May 2018
10 mos
Capstone Project -- Interactive Machine Learning and Visualizations • Worked with Prof. John Canny to develop a tool to visualise the layers of a neural network post training. We started with visualising an MNIST classifier’s layers, and then extended our approach to CIFAR and ImageNet. • We used GANs/image averaging/regularization to make these visualisations more intuitive for a human being. Prediction of mood labels for music on Spotify Nov’17 • Built on features from ~20,000 songs on Spotify’s public playlists to be able to predict mood labels for songs (happy, sad, angry, relaxed)
Data Engineer II
Sabre Corporation
Aug 2016 - Jul 2017
1 yr
InMobi
Jan 2014 - Jul 2016
Software Developer
Jul 2014 - Jul 2016
2 yrs 1 mo
Intern
Jan 2014 - Jun 2014
6 mos
Contributed to Apache Falcon.
Education
  • 2017 - 2018
    University of California, BerkeleyMaster of Engineering - MEng, Computer Science
  • 2010 - 2014
    Vellore Institute of TechnologyBachelor of Technology (B.Tech.), Computer Engineering