Tracy Manning

MLOps Engineer | Production ML Infrastructure

I build ML systems that deploy reliably, scale efficiently, and run cost-effectively on Linux.

What I Do

Deploy production ML infrastructure that actually works. RAG pipelines. Databricks at scale. Multi-cloud MLOps. Linux-native systems that don’t break at 2am.

Your models are trained. Now they need to ship. That’s where I come in.

Core Expertise

MLOps & Production Systems

  • Production RAG pipeline deployment and optimization
  • Databricks ML workflows at scale
  • Model serving infrastructure (real-time and batch)
  • CI/CD for ML systems
  • Monitoring, observability, and reliability engineering

Linux Infrastructure

  • Native Linux deployments and orchestration
  • Container orchestration (Docker, Kubernetes)
  • Infrastructure as code (Terraform)
  • Performance tuning and optimization
  • Security hardening for production environments

Multi-Cloud Architecture

  • AWS Solutions Architect Professional
  • GCP Professional Cloud Architect
  • AWS Advanced Networking Specialist
  • Cross-cloud MLOps implementation
  • Cost optimization and resource management

Data Engineering

  • Petabyte-scale pipelines with medallion architecture
  • Real-time streaming (Spark, Kafka)
  • Data warehousing and lakehouse patterns
  • Vector databases for production RAG systems

Current Focus

Building production MLOps infrastructure for companies that need their ML systems to actually work.

Based in Austin, Texas.

*LinkedIn GitHub*