Work Experience
NVIDIA
Applied Engineering Intern, Enterprise Platforms Organization, May 2025 - August 2025
Optimizing the Las Vegas Sphere’s Rendering and Projection Pipeline with NVIDIA AI Software
Developed a custom Unreal Engine (UE) pipeline that emulates the Sphere’s workflow, receiving 4K video frames, upscaling to 8K with DLSS4-SR, and projecting to a tiled multi-display grid.
Proved DLSS4-SR outperforms UE’s native super resolution technology in image quality, reinforcing the value of NVIDIA AI software in one of the world’s most advanced professional media and entertainment venues.
Performance Analysis of NVIDIA GPU-accelerated 3D Volumetric Video Capture (VVC) Solutions
Analyzed network, file system, and storage performance in a representative multi-server VVC system powered by NVIDIA RTX GPUs and exposed a critical bottleneck hindering data reception throughput by 40x, sparking efforts to re-architect the solution.
Delivered system-level performance insights that will shape future NVIDIA Reference Architectures, guiding customers in building next-generation VVC solutions for demanding use cases such as capturing live sports for immersive multi-angle playback via VR/XR.
NVIDIA
Applied Engineering Intern, Enterprise Platforms Organization, May 2025 - August 2025
Optimizing the Las Vegas Sphere’s Rendering and Projection Pipeline with NVIDIA AI Software
Developed a custom Unreal Engine (UE) pipeline that emulates the Sphere’s workflow, receiving 4K video frames, upscaling to 8K with DLSS4-SR, and projecting to a tiled multi-display grid.
Proved DLSS4-SR outperforms UE’s native super resolution technology in image quality, reinforcing the value of NVIDIA AI software in one of the world’s most advanced professional media and entertainment venues.
Performance Analysis of NVIDIA GPU-accelerated 3D Volumetric Video Capture (VVC) Solutions
Analyzed network, file system, and storage performance in a representative multi-server VVC system powered by NVIDIA RTX GPUs and exposed a critical bottleneck hindering data reception throughput by 40x, sparking efforts to re-architect the solution.
Delivered system-level performance insights that will shape future NVIDIA Reference Architectures, guiding customers in building next-generation VVC solutions for demanding use cases such as capturing live sports for immersive multi-angle playback via VR/XR.
NVIDIA
Applied Engineering Intern, Enterprise Platforms Organization, May 2024 - August 2024
Synchronization Techniques for Large-Scale Multi-Display Systems
Worked with a high-resolution multi-display setup powered by networked systems synchronized with NVIDIA Quadro Sync hardware and SMPTE 2110-based software.
Developed automated test frameworks for a Vulkan application, simulating real-world use cases such as large-scale digital signage and virtual production.
Conducted extensive frame synchronization analyses at millisecond granularity, helping software developers rapidly identify GPU driver or systems software issues and accelerate debugging.
Benchmarking Design and Visualization Applications
Created a new benchmark for Chaos Vantage, a real-time ray-tracing application, providing insights into GPU performance across rendered scenes of varying complexity.
Enhanced CPU/GPU performance measurement pipelines by nearly tripling supported metrics (12 → 34) to help find GPU optimization opportunities for applications such as Autodesk Maya and Dassault Systèmes CATIA.
LLM Copilot for the Analysis of Application Profiles
Architected a prototype SQL query generation pipeline with GPT-4o, LangChain SQL Agent, and Graph-based Retrieval Augmented Generation (RAG) to streamline the analysis of application profiles from the NVIDIA Nsight Profiler.
NVIDIA
Applied Engineering Intern, Enterprise Platforms Organization, May 2024 - August 2024
Synchronization Techniques for Large-Scale Multi-Display Systems
Worked with a high-resolution multi-display setup powered by networked systems synchronized with NVIDIA Quadro Sync hardware and SMPTE 2110-based software.
Developed automated test frameworks for a Vulkan application, simulating real-world use cases such as large-scale digital signage and virtual production.
Conducted extensive frame synchronization analyses at millisecond granularity, helping software developers rapidly identify GPU driver or systems software issues and accelerate debugging.
Benchmarking Design and Visualization Applications
Created a new benchmark for Chaos Vantage, a real-time ray-tracing application, providing insights into GPU performance across rendered scenes of varying complexity.
Enhanced CPU/GPU performance measurement pipelines by nearly tripling supported metrics (12 → 34) to help find GPU optimization opportunities for applications such as Autodesk Maya and Dassault Systèmes CATIA.
LLM Copilot for the Analysis of Application Profiles
Architected a prototype SQL query generation pipeline with GPT-4o, LangChain SQL Agent, and Graph-based Retrieval Augmented Generation (RAG) to streamline the analysis of application profiles from the NVIDIA Nsight Profiler.
Purdue University
Undergraduate Teaching Assistant, ECE 473: Intro to Artificial Intelligence, January 2025 - May 2025
Supporting a 114-student class by hosting office hours, grading assignments, managing the class forum, and proctoring exams.
Purdue University
Undergraduate Teaching Assistant, ECE 473: Intro to Artificial Intelligence, January 2025 - May 2025
Supporting a 114-student class by hosting office hours, grading assignments, managing the class forum, and proctoring exams.