Fisher Brown
IT Infrastructure Engineer @ Carnegie Mellon University SEI | Army Veteran
- Role
- Associate Infrastructure Engineer Ai Division at Software Engineering Institute | Carnegie Mellon University
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Fisher Brown
Always learning, always building. I’m passionate about technology and its power to…
Experience
Associate Infrastructure Engineer Ai Division
Software Engineering Institute | Carnegie Mellon University
Nov 2024 — Present · Pittsburgh, PA, US
Configure and maintain RHEL-based Nvidia GPU clusters with Puppet and Bash scripting• Apply GitOps, DevOps, and reliability engineering concepts by leveraging Prometheus and Grafana for monitoring and observability, deep Linux systems and Kubernetes troubleshooting, and CI/CD with Bamboo and Jenkins• Author Python code to automate the secure deployment of Kubeflow machine learning applications to an internal, air-gapped Kubernetes cluster• Deploy GPU-enabled Ollama and vLLM Docker containers and web server frontend for internal interfacing of LLMs to aid end users on content summarization and coding tasks• Plan, deploy, refine, and maintain internal, air-gapped Kubernetes clusters to host distributed application workloads and machine learning model training jobs• Sandbox and test application deployment before hosting in SEI’s production environment by utilizing AWS services: EKS, ECS, CDK, Systems Manager, CodePipeline, CloudWatch, EventBridge, Lambda, S3, IAM, etc.• Serve as primary support for the AI Division’s Advanced Computing Lab by provisioning and automating setup for advanced neuromorphic and edge hardware—including EdgeCortix SAKURA-II boards, IBM NorthPole chips, NVIDIA Orins, and FPGAs—to meet DoD client mission requirements in austere, high-stakes environments
Education
Saint Martin's University
Certificate, Computer Science
Western Governors University
Bachelor of Science - B.S., Cloud Computing
2022 — 2024
University of Massachusetts Lowell
Master of Science - M.S., Information Technology
2025 — 2026
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