Sharmili Srinivasan

Sharmili Srinivasan


  • Joined Oct 2022

Practicing MLOps in your organization: tools, frameworks and governance

Back to the Future: Designing multi-model Machine learning systems using Inference Graphs

Speakers Saurav Raj (ML Engineer, PayPal) Sharmili Srinivasan (ML Engineer, PayPal) more
  • Confirmed & scheduled
  • 27 Oct 2022

Economies of Data Science

Economies of Machine Learning systems

Abstract Machine Learning (ML) in production is complex due to higher operation costs. For a large-scale serving, the ML-based use cases require an infrastructure of powerful CPUs and GPUs that contributes significantly to an organization’s OpEx. In this session, we explore the ways of reducing the cost of doing ML and the factors that direct our preference for one ML solution over another. By an… more
  • Submitted
  • 23 Jan 2023