Shashank Srikanth

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Mount Tamalpais, California

Hi there, I am a software engineer at the Machine Learning Platform at Netflix. I primarily work on enhancing Metaflow, an open source data science and machine learning orchestration framework. This involves working on various aspects of the platform, such as enabling robust and reliable access to data from Netflix’s internal data lake (Iceberg), supporting different compute backends (e.g., AWS Batch, Titus), and deployment of machine learning models using an internal OpenFAAS-based platform called Metaflow Hosting.

Prior to joining Netflix, I was a graduate student at Georgia Tech, where I received my Master’s degree in Computer Science with a focus on Machine Learning. My interests are primarily in Machine Learning Infrastructure, Robotics, and Computer Vision - and were shaped by my experiences as a software engineer at Amazon Robotics, and as a researcher at Robotics Lab at IIIT-Hyderabad, and Precog Research Group at IIIT-Delhi.

news

Mar 07, 2024 Gave a talk on hosting models at scale using Metaflow Hosting at the ML Infra at Netflix meetup. The talk is available on YouTube.
Jun 12, 2023 Working full-time on Metaflow as a Machine Learning Engineer in the ML Platform team at Netflix.
May 04, 2023 Graduated with a Master’s degree in Computer Science with specialization in Machine Learning from Georgia Tech.
Aug 15, 2022 Started Machine Learning Internship in the Scanless Technologies team at Amazon Robotics.
May 23, 2022 Started Machine Learning Internship at the ML Platform team at Netflix.

latest posts

selected publications

  1. INFER: INtermediate representations for FuturE pRediction
    Shashank Srikanth, Junaid Ahmed Ansari, R. Karnik Ram, and 3 more authors
    In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
  2. Driving the last mile: Characterizing and understanding distracted driving posts on social networks
    Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, and 3 more authors
    In Proceedings of the International AAAI Conference on Web and Social Media, 2020