Sep 23–26, 2019
Sireesha Muppala

Sireesha Muppala
Solutions Architect, Amazon Web Services

Sireesha is a Specialist Solutions Architect,MachineLearning/AI Services at Amazon Web Services (AWS). She provides guidance to AWS customers on their ML/AI workloads. While working full-time, Sireesha earned her Ph.D in May 2013 and Post Doctorate in 2015 from University of Colorado, Colorado Springs. Her Ph.D thesis is, “Multi-tier Internet Service Management using Statistical Learning Techniques (”. She led the Colorado University team in winning and successfully completing a 2-year research grant from Air Force Research Lab on “Autonomous Job Scheduling in Unmanned Aerial Vehicles”. She is an experienced public speaker and has presented research papers at International Conferences: CoSAC: Coordinated Session-Based Admission Control for Multi-Tier Internet Applications ( at IEEE Int’l Conf. on Computer Communications and Networks (ICCCN), 2009; Regression Based Multi-tier Resource Provisioning for Session Slowdown Guarantees ( at IEEE Int’l Conf. on Performance, Computing and Communications (IPCCC), 2010. She also published technical articles : Coordinated session-based admission control with statistical learning for multi-tier internet applications ( in 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 Journal of Parallel and Distributed Computing (JPDC)


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
Sireesha Muppala (Amazon Web Services), Shelbee Eigenbrode (Amazon Web Services), Randall DeFauw (Amazon Web Services)
As an increasing level of automation is becoming available to data science, there is a balance between automation and quality that needs to be maintained. Applying DevOps practices to machine learning workloads not only brings models to the market faster but also maintains the quality and integrity of those models. This presentation will focus on applying DevOps practices to ML workloads. Read more.

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