Ryan Glusic / Engineer & builder

Curiosity,put to work.

IT DevOps Engineer at NVIDIA, building HPC infrastructure and AI-powered operations tools.

Explore the work View resume

Infrastructure / AI agents / Exploration

FIG. 001 / CONTINUOUS FORMX · Y · Z
A small study in perspective
Working acrossHPC & GPU systemsLinux & orchestrationScientific computing
/01Selected work

Agents. Systems. Experiments.

Current work in AI agents and infrastructure, alongside earlier software and physics explorations.

Current work · Built for NVHPCIn development

An interactive DevOps assistant built for NVHPC to automate routine operational workflows. I actively use it through Slack to request system reboots and inspect Slurm and job pools.

The need: offload routine operational work while maintaining round-the-clock awareness. The design aims to discover relevant context as it becomes familiar with the environment, answer node-health questions, and generate dynamic, contextual reports instead of static ones.

In development: automated failure diagnosis and diagnostic job reruns.

Core capabilities
  • 01System reboot requests through Slack
  • 02Conversational Slurm & job-pool inspection
  • 03Slurm monitoring & issue alerts
  • 04Persistent memory & consolidation
  • 05Administrator approval & denial gates
Internal work / Designed for team use
Information in motion
Abstract information-flow artwork

Current contributions / NVIDIA

The infrastructure behind the agents.

Fleet observability

Developed fleetwide Prometheus and Grafana monitoring for GPU/HPC infrastructure.

Workload orchestration

Manage the Slurm configuration stack and supporting wrapper tools.

Testing tools

Contribute Python code to an internal testing platform.

System recovery

Assist emergency system recovery and repair during outages.

Earlier public explorations
STUDY / 01Concept illustration
Rendering experimentsEarly study · 2019–20

RustyTracer

An early exploration of rendering in Rust. A place to work through the relationship between light, geometry, and code.

RustGraphicsExploration
STUDY / 02Concept illustration
Computational physicsArchived · 2020

Phonon dispersions

Spring models and phonon dispersion, explored through Python, VPython, and Jupyter. A small window into a physics-and-code foundation.

PythonVPythonJupyter
/02The throughline

A physics foundation.
A systems mindset.

My work brings together GPU infrastructure, Linux, workload orchestration, and AI agent design. My background in physics and mathematics connects that work to scientific computing and software.

Alongside engineering, I continue to explore AI research.

B.S. in Physics and Mathematics
University of Wisconsin–Parkside · 2021

01

AI agents

Workflows with oversight.

Interactive DevOps assistants that automate routine workflows through infrastructure tools, persistent memory, and administrator approval controls.

Workflow automationMemory lifecycleHuman approval
02

Infrastructure

The systems underneath.

GPU/HPC operations, fleet monitoring, Slurm configuration, and hands-on system recovery.

SlurmLinuxPrometheusGrafana
03

Software

Ideas made executable.

Python testing tools, scheduler wrappers, and scientific workflows that connect code to real systems.

PythonToolingScientific computing
/03From the archive

Where the questions started.

Browse the research archive
2021

Condensed matter, in detail

Senior seminar2021

Research for a wider audience

Student showcase2021

Phonon calculations at APS

Research poster2021

Ideas in materials & manufacturing

WiSys presentation
/04Make contact

Let's compare notes.

Infrastructure, software, scientific computing.
Start a conversation.

View my resume