Accelerating Application Security and Machine Learning with Cloud IAM πŸ—“

Sponsor: IEEE CS SD Invited Seminar Series 2025 – Lectures 1 and 2 (Virtual)
Speaker: Two speakers
Saidaiah Yachuri of Amazon Web Services
Kunal Sekhri of Google
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Date: 28 Jan 2025
Time: 05:30 PM to 06:30 PM
Cost:
Location:
Reservations: IEEE
Summary:
Our inaugural talk of the 2025 Invited Seminar Series comprises of two back to back talks covering a few interesting topics revolving around cloud computing including user access control, authentication and authorization, deploying machine learning models and accelerating ML workflow on the cloud platforms.

Bio:
Saidaiah Yechuri is a software engineer and security expert currently contributing to the AWS Identity and Access Management (IAM) team at Amazon Web Services. Before joining AWS, Saidaiah spent nearly a decade at Dish Network and Spectrum, where he developed software solutions for video streaming and media domains, contributing to innovative features and enhancing user experiences in the entertainment industry.

Kunal Sekhri is a Software Engineer with 9+ years of experience building high-performance and scalable distributed systems. He has a track record of leading teams, collaborating across departments like Product and Marketing, and consistently delivering exceptional software products. His interest lies in building products to address users’ pain points from better reliable systems to more intuitive experiences. Kunal is currently leading the team at Google Cloud for improving the discovery of Google Cloud Products and services. It involves building a better search stack, streamlining customer user journeys on cloud.google.com for personas like AI enthusiasts, developers, startups etc. Kunal work involves working with marketer, user researchers, product managers and software engineers to improve the experience for Google Cloud customers by 10x. Kunal’s goal is to make AI adoption on cloud seamless for enterprises, developers, and students to unlock their capabilities to do more.

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