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Neha Shetty
 

Neha Shetty is a principal software development engineer at Amazon Web Services (AWS). With over 15 years of industry experience, she specializes in building scalable, high-availability distributed systems that power the backbone of the Internet.

Neha’s core expertise lies in software load balancing, transport security, and large-scale cloud networking. She has led the development of foundational AWS services, including enabling transport layer security (TLS) for the network load balancer and serving as the technical lead for the VPC Lattice data plane. Neha has been granted five patents by the US Patent and Trademark Office (USPTO) related to security and load balancing solutions.

Neha plays a key role in driving technical execution and mentoring engineers. Her leadership has helped deliver reliable, high-performance systems that serve millions of customers globally. She regularly collaborates with cross-functional teams to shape the direction of AWS load balancing technologies.

Neha is an Institute of Electrical and Electronics Engineers (IEEE) Senior Member and chairs the Computer Society Seattle Section. She also served as the Lightning Talks Co-Chair for the IEEE New Era AI Summit, and frequently speaks at conferences on topics such as distributed systems and cellular architecture. Her recent presentation at the IEEE Cloud Summit explored techniques for improving scalability using cell-based design principles.

Neha also serves as an industry advisor for Bellevue College, where she helps shape computer science curriculum to align with industry needs. Her work reflects a commitment to engineering excellence, education, and inclusive leadership in the tech industry.


Neha Shetty
 

Neha Shetty is a principal software development engineer at Amazon Web Services (AWS). With over 15 years of industry experience, she specializes in building scalable, high-availability distributed systems that power the backbone of the Internet.

Neha’s core expertise lies in software load balancing, transport security, and large-scale cloud networking. She has led the development of foundational AWS services, including enabling transport layer security (TLS) for the network load balancer and serving as the technical lead for the VPC Lattice data plane. Neha has been granted five patents by the US Patent and Trademark Office (USPTO) related to security and load balancing solutions.

Neha plays a key role in driving technical execution and mentoring engineers. Her leadership has helped deliver reliable, high-performance systems that serve millions of customers globally. She regularly collaborates with cross-functional teams to shape the direction of AWS load balancing technologies.

Neha is an Institute of Electrical and Electronics Engineers (IEEE) Senior Member and chairs the Computer Society Seattle Section. She also served as the Lightning Talks Co-Chair for the IEEE New Era AI Summit, and frequently speaks at conferences on topics such as distributed systems and cellular architecture. Her recent presentation at the IEEE Cloud Summit explored techniques for improving scalability using cell-based design principles.

Neha also serves as an industry advisor for Bellevue College, where she helps shape computer science curriculum to align with industry needs. Her work reflects a commitment to engineering excellence, education, and inclusive leadership in the tech industry.


     

Parsing millions of DNS records per second
Koekkoek J., Lemire D. Software--Practice & Experience 55(4): 778-788, 2025.  Type: Article

The domain name system (DNS) is essential for directing Internet traffic and supporting distributed systems, yet one of its core operations--record parsing--remains a hidden performance bottleneck. With billions of queries handled daily,...

 

Local load migration in high-capacity fog computing
Jasim M., Siasi N. ACM Transactions on Internet Technology 24(4): 1-31, 2024.  Type: Article

This paper introduces a novel approach to processing data-intensive and delay-sensitive requests. It utilizes a heterogeneous fleet of fog nodes where super fog (SF) nodes (high computational resources local to terminal) are always active and hand...

 
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