Sebastian Smith
Cloud Architect @NorthMark Strategies
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WORK HISTORY
Cloud Architect @NorthMark Strategies
Dallas-Fort Worth, TX, US
At Northmark, I lead the design and operation of our AI/ML infrastructure platforms. My team and I build the foundation that enables data science and engineering groups to deliver AI securely and at scale.Delivered a $2M+/month GPU-accelerated HPC environment for AI/ML training and inference, leveraging AWS ParallelCluster, EFA networking, and FSx Lustre/S3.Onboarded a 17-person ML team to AWS SageMaker with secure pipelines and containerized MATLAB/scientific workloads.Established AI platform governance across dozens of accounts using SCPs, OUs, and IAM, ensuring compliance while enabling multi-tenant LLM pipelines and RAG services.Implemented LLMOps guardrails — token cost monitoring, GPU utilization dashboards, IAM hardening — improving workload efficiency by 20%.Automated GPU-ready AMI builds and Terraform workflows to create reproducible AI pipelines.Built observability dashboards with CloudWatch and Grafana to monitor AI workload performance, cost, and security posture.Lead a team of 7 engineers building cloud + AI infrastructure, while mentoring and recruiting for AI-ready skills.
EDUCATION
Naveen Jindal School of Management, UT Dallas
Master of Science (M.S.), Information Technology and Management
The University of Texas at Dallas
Bachelor of Arts (B.A.), School of Economics
SKILLS
ABOUT SEBASTIAN SMITH
I design, build, and scale infrastructure that makes AI possible.With 15+ years of experience in cloud and HPC platforms, I’ve delivered $2M+/month GPU-accelerated environments, built enterprise AI governance frameworks, and led teams to enable secure, scalable LLM pipelines and RAG services.I’m also the creator of Deepflow, an open-source AI codebase hygiene toolkit with MCP integration for Claude Code, and NPCGPT, a lightweight offline LLM chatbot designed to run on a Raspberry Pi for edge AI deployment.My passion is bridging cutting-edge AI tooling with enterprise-ready infrastructure: from petabyte-scale dataset pipelines and GPU clusters, to responsible AI governance and edge AI innovation.Currently exploring opportunities where I can drive AI adoption at scale, mentor engineering teams, and help organizations transform their infrastructure into AI-ready platforms.
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