Sep 23–26, 2019
Sireesha Muppala

Sireesha Muppala
Solutions Architect, Amazon Web Services

Sireesha Muppala is a solutions architect at Amazon Web Services. Her area of depth is machine learning and artificial intelligence, and she provides guidance to AWS customers on their ML and AI workloads. She led the Colorado University team to win and successfully complete a two-year research grant from the Air Force Research Lab on “Autonomous Job Scheduling in Unmanned Arial Vehicles.” She’s an experienced public speaker and has presented research papers at international conferences, such as CoSAC: Coordinated Session-Based Admission Control for Multi-Tier Internet Applications at the IEEE International Conference on Computer Communications and Networks (ICCCN) and Regression Based Multi-Tier Resource Provisioning for Session Slowdown Guarantees at the IEEE International Conference Performance, Computing and Communications (IPCCC). She’s published technical articles, such as Coordinated Session-Based Admission Control with Statistical Learning for Multi-Tier Internet Applications in the Journal of Network and Computer Applications (JNCA), Regression-Based Resource Provisioning for Session Slowdown Guarantee in Multi-Tier Internet Servers, and Multi-Tier Service Differentiation: Coordinated Resource Provisioning and Admission Control in the Journal of Parallel and Distributed Computing (JPDC). Sireesha earned her PhD and postdoctorate from the University of Colorado, Colorado Springs, while working full time. Her PhD thesis is Multi-Tier Internet Service Management Using Statistical Learning Techniques.


5:25pm6:05pm Wednesday, September 25, 2019
Location: 3B - Expo Hall
Sireesha Muppala (Amazon Web Services), Shelbee Eigenbrode (Amazon Web Services), Emily Webber (Amazon Web Services)
Mansplaining. Know it? Hate it? Want to make it go away? Sireesha Muppala, Shelbee Eigenbrode, and Emily Webber tackle the problem of men talking over or down to women and its impact on career progression for women. They also demonstrate an Alexa skill that uses deep learning techniques on incoming audio feeds, examine ownership of the problem for women and men, and suggest helpful strategies. Read more.
3:45pm4:25pm Thursday, September 26, 2019
Location: 1A 21/22
Sireesha Muppala (Amazon Web Services), Shelbee Eigenbrode (Amazon Web Services), Randall DeFauw (Amazon Web Services)
As an increasing level of automation becomes available to data science, the balance between automation and quality needs to be maintained. Applying DevOps practices to machine learning workloads brings models to the market faster and maintains the quality and integrity of those models. Sireesha Muppala, Shelbee Eigenbrode, and Randall DeFauw explore applying DevOps practices to ML workloads. Read more.
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