Hi, I'm Karthik! I'm a software engineer at NVIDIA working on enabling GPUs for distributed AI workloads (Kubernetes). As of late, I've also been looking into systems for LLM inferencing and completing my M.S. Computer Science.

2025 — NowNVIDIASoftware Engineer

2025 — Now

New York, New York, United States

Making GPUs first-class citizens in Kubernetes for AI workloads — automating GPU provisioning, driver management, and resource configuration.

2024 — 2024NVIDIASoftware Engineering Intern

2024 — 2024

Santa Clara County, California, United States

Summer 2024, Containers & Kubernetes (NVIDIA Cloud Team)

Working on multi-node, scalable GPU infrastructure for LLM inferencing.

2024 — 2024TeslaMachine Learning Engineer Intern

2024 — 2024

Palo Alto, California, United States

Winter 2024, Sensing Team

Training neural nets and building machine learning infrastructure for various autopilot & cabin sensing projects!

2023 — 2024Stanford Artificial Intelligence Laboratory (SAIL)AI/ML Research, Stanford Vision and Learning Lab

2023 — 2024

Stanford, California, United States

Prof: Jiajun Wu

Looking into the intersection of large language models and robotics! Reach out if you have thoughts or are working a similar space.

2023 — 2023EdifecsSoftware Engineering Intern

2023 — 2023

Palo Alto, California, United States

Summer 2023, Core Technology team

Working on the infrastructure behind an NLP powered, integrated workflow application to improve risk adjustment coding in healthcare!

Education

Stanford University

Bachelor's degree

The Overlake School

Stanford University

Experience+

Education

Bachelor's degree

Master of Science - MS