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Sruthi Venkatanarayanan

@sruthivenkatanarayan

Software engineer at Huawei who developed a C++ and LLVM pipeline for spatially memory-safe C applications.

At Huawei Technologies Co., Ltd., I developed a C++ and LLVM pipeline to make C applications spatially memory-safe using memory-safe WebAssembly containers and a spatially safe C dialect.

I also worked on a C++ Linux kernel tool for dynamic file access control and on a patent-pending method for dynamic sandbox extension using SELinux.

At Cisco Systems, I developed the Cisco Technical Support App with Java, Spring Boot, and REST APIs, including a migration from cookie to OAuth authentication.

For my University of Waterloo MMath thesis, I analyzed library API usage with static and dynamic analysis and Java bytecode instrumentation, then developed a visualization tool to explore library fission for isolating vulnerabilities.

Experience

Work history, roles, and key accomplishments

Software Engineer (Compilers and Security)

Huawei Technologies Co., Ltd.

Oct 2022 - Feb 2026 (3 years 4 months)

Developed a C++ and LLVM pipeline for spatial memory safety in C apps using WebAssembly containers and a safe C dialect. Created a Linux kernel tool for dynamic file access control and filed a patent for dynamic sandbox extension using SELinux.

C++LLVM WebAssembly Linux Kernel SELinux Compiler Security

Software Engineer

Cisco Systems

Jul 2018 - Jun 2020 (1 year 11 months)

Developed mobile and web applications for Cisco, including a technical support app using Java/SpringBoot and a customer portal with Angular. Migrated authentication to OAuth and set up Jenkins security scans.

Java Spring Boot REST APIs OAuth Jenkins Angular TypeScript

Research Intern

Indian Institute of Science

Jan 2017 - Dec 2017 (11 months)

Worked in the Compilers Lab on designing and implementing a high-level domain-specific language to generate compiler optimizers using LLVM libraries.

LLVM Compiler Design Principles Domain Specific Languages Data Flow Analysis

Education

Degrees, certifications, and relevant coursework

University of Waterloo

MMath, Computer Science

2020 - 2022

Grade: 94.75%

MMath Thesis in Computer Science focusing on static/dynamic analysis and Java bytecode instrumentation to analyze library API usage, including development of a visualization tool and exploration of library fission.