Ian Holloway is an ML systems engineer and Cornell MEng CS student with five years of hands-on experience building GPU-backed web apps, orchestration, and production ML pipelines. He has shipped repeatable PyTorch inference services with task queues and Linux/Docker deployments, and driven 3–4x performance improvements via multiprocessing, batching, and memory-aware scheduling. His background spans applied ML (ecological prediction and transformer-based sequence modeling) and low-level optimization in Python and C++, making him comfortable where model research meets infrastructure. Notably, he reduced blockchain transaction costs and dev setup time in a production marketplace and built tooling that put GPU-backed research services directly into researchers’ hands. Actively seeking ML Systems / MLE / Applied AI SWE new grad roles for 2026, he focuses on model serving and engineering that unlocks real-world model performance.
5 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell University
University of California Santa Cruz
High School Diploma, High School Diploma at Seattle Preparatory School
A reproducable operating system using NixOS/Nix Home Manager with Nix Flakes
Contributions:2 PRs, 117 pushes, 4 branches in 1 year
dotfileshyprlandhyprland-confignixnix-flake
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