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Gunnar Gutierrez

@gunnargutierrez

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AI Platform Engineer at IAG Transform integrating open-source AI tools into an enterprise platform.

Spain

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What I'm looking for

I'm particularly interested in the intersection of infrastructure and AI engineering: building scalable platforms that enable teams to deploy, serve, and operate modern AI systems reliably.

At IAG Transform, I research, evaluate, and deploy open-source tools for AI and LLM workflows, integrating them into the enterprise AI platform. I also develop reusable Terraform modules and Helm configurations for applications and services on AWS EKS.

At Multiverse Computing, I worked on a multi-tenant MLOps platform on Kubernetes, developing backend APIs and configuring SkyPilot-orchestrated training jobs with MLflow tracking. I also designed Kafka event-driven workflows between platform services.

At Hound Line, I developed and deployed ML systems for banking and healthcare clients, including credit-default prediction and donor propensity modeling that boosted communication effectiveness 4x. I automated production pipelines and built a RAG-based internal documentation chatbot.

Experience

Work history, roles, and key accomplishments

Current

AI Platform Engineer

Current

IAG Transform

Jul 2026 - Present (4 months)

Researched, evaluated and deployed open-source tools for AI and LLM workflows, integrating them into the enterprise AI platform. Developed reusable Terraform modules and Helm configurations to deploy applications on AWS EKS.

AWS Sagemaker Amazon EKS ECR API Gateway Terraform Kubernetes Helm Docker MLFlow Langfuse GitHub Actions

MLOps Engineer

Multiverse Computing

Mar 2026 - Jun 2026 (3 months)

Worked on a multi-tenant MLOps platform on Kubernetes, covering AI workload deployment and GitOps workflows with ArgoCD. Developed backend APIs and configured SkyPilot-orchestrated training jobs with MLflow experiment tracking.

Kubernetes Helm ArgoCD AWS SkyPilot fastAPI Kafka PostgreSQL Docker GitLab CI CD

Data Scientist / ML Engineer

Hound Line

Jun 2024 - Feb 2026 (1 year 8 months)

Developed and deployed end-to-end ML systems for banking and healthcare clients, including credit-default prediction and donor propensity modeling. Automated production pipelines, achieving a 3x faster donor-prediction workflow with improved reliability.

Python SQL SQLAlchemy scikit learn MLFlow Lang Chain Ollama ChromaDB fastAPI Docker Docker Compose

Intern - Connections & Data Consultant

UVE Solutions

Oct 2022 - May 2023 (7 months)

Completed an internship contract, which was later renewed for an additional period. Worked on delivering data-integration and data-sharing projects for clients.