Carnegie Mellon University
Julian Ng-Thow-Hing

Exploring Computer Science, Machine Learning, and Robotics @Carnegie Mellon

Reach out: jngthowh@andrew.cmu.edu

Primarily interested in AI Infra, Agents, and Robotics!

Meta Superintelligence Labs,

PyTorch, Software Engineer Intern

Built PyTorch's first WebGPU backend in ExecuTorch for browser LLM inference with no cloud dependency. Outperformed llama.cpp, WebLLM, and ONNX Runtime on quantized Llama and Qwen across 128 to 8192 token contexts.

Summer 2026

Auctor

Software Engineer Intern

First engineering hire. Shipped AI artifact-generation for ServiceRocket and Valiantys, driving up to 80% efficiency gains. Backed by Sequoia's $20M Series A (announcement).

Summer 2025

Stanford Medicine

AI Emerging Apps Lab, Machine Learning Intern

Built FastFax at Stanford Health Care to triage urgent fax referrals with OCR and a CNN. Processed 567,000+ faxes, cutting triage time from 33 hours to 63 minutes at 89% PPV. Published in NEJM Catalyst and as an AMIA poster.

2022