1 Introduction

Hi, welcome to my GitHub Pages site!

I am a software engineer at NVIDIA, where I work on compilers and large-scale AI inference systems, including TensorRT-LLM.

My technical interests lie at the intersection of modern C++, compiler infrastructure, GPU programming, and high-performance computing.

I have contributed to the LLVM community for several years, mainly around C++ language features, compiler diagnostics, frontend behavior, and related infrastructure. Open-source work has been one of the most important parts of my technical growth: it gives me direct feedback from experienced engineers, helps me understand real-world software systems, and allows my work to benefit a broader developer community.

I am also involved in the ISO C++ Standards Committee, where I follow and contribute to discussions on the evolution of modern C++. I am particularly interested in how C++ can continue to evolve in the era of AI agents, heterogeneous computing, reflection, metaprogramming, and performance-critical systems.

My current areas of interest include:

• C++ compilers, libraries, and language implementation
• LLVM, Clang, and compiler frontend infrastructure
• ISO C++ standardization and language evolution
• GPU programming models and high-performance computing
• TensorRT-LLM and AI inference systems
• MLIR, code generation, and compiler-assisted optimization
• The role of AI agents in future software development

I believe that good engineering is not only about writing correct and efficient code, but also about building tools, abstractions, and communities that help others do better work. My long-term goal is to contribute to systems that make high-performance programming more expressive, reliable, and accessible.

Outside of work, I enjoy open-source communities, technical writing, photography, theme parks, anime, games, and exploring ideas across software engineering, language design, and computer systems.

If you would like to discuss any of these topics, feel free to send me an email. :-)

The opinions expressed on this site are my own and do not represent NVIDIA’s positions, strategies, or opinions.

2 WG21 Papers

• P2906R2: Structured bindings for std::extents
  This paper proposes structured binding support for std::extents.

• P3738R1: Make std::make_from_tuple SFINAE friendly
  This paper proposes constraints for std::make_from_tuple so it works better in SFINAE and generic-programming contexts.