Sign In

Aneesh Vartakavi

Tech Lead / Scientist, Applied Research @ Gracenote

Aneesh Vartakavi is a Senior Machine Learning Engineer at Netflix, currently based in Emeryville, California.1 Previously, he held positions at Gracenote, including:

  • Manager of Machine Learning (February 2019 - May 2022)
  • Senior Research Engineer (December 2017 - February 2019)
  • Research Engineer (June 2014 - November 2017)

At Gracenote, Vartakavi led a team of research engineers specializing in cross-domain Machine Learning, focusing on Computer Vision and Natural Language Processing. His work involved developing algorithms to analyze various media types, including movies, TV shows, music, and podcasts, by adding descriptive attributes to enable better search and recommendation systems.1

Vartakavi has a strong background in audio and music technology. He holds a Master's degree in Music Technology from Georgia Institute of Technology (2012-2014) and has worked on projects involving audio and MIDI processing.1

In addition to his professional work, Vartakavi has contributed to research in image processing and machine learning. He is associated with the Gracenote Multi-Crop (GNMC) dataset, which aims to further research in algorithms for aesthetic image cropping.2

Highlights

Video annotator: a framework for efficiently building video classifiers ...
Jan 3 · github.com
aneeshvartakavi/GNMC: Gracenote Multi-Crop Dataset for ... - GitHub

Related Questions

What projects has Aneesh Vartakavi led at Netflix?
How does Aneesh Vartakavi's work at Gracenote impact content discovery?
What are some key achievements of Aneesh Vartakavi in his career?
How does Aneesh Vartakavi's background in music technology influence his work in machine learning?
What challenges has Aneesh Vartakavi faced in his roles at Netflix and Gracenote?
Aneesh Vartakavi
Aneesh Vartakavi, photo 1
Aneesh Vartakavi, photo 2
Add to my network

Location

Emeryville, California