Joseph Haaga
Principal Software Engineer & MLOps Consultant
Building scalable ML systems and infrastructure. Based in Washington, D.C.
About
I'm a Principal Software Engineer and MLOps specialist with 10+ years of experience building production ML systems and data infrastructure at scale.
Currently at BuzzFeed, where I architect and maintain ML platforms that power content recommendations and analytics for millions of users.
Previously built ML infrastructure at Interos, led data engineering at Capital One, and built data science systems at Redhorse Corporation.
Based in Washington, D.C., I specialize in:
- ML platform design and MLOps tooling
- Kubernetes-based ML infrastructure
- Data pipeline architecture
- Cloud infrastructure (AWS, GCP)
- Platform engineering for data teams
I'm available for consulting engagements, advisory roles, and full-time opportunities.
Tech Stack
Latest Posts
View all →What to Look for in a Software Consulting Engagement
A checklist for both consultants and clients to ensure successful project outcomes
Infrastructure as Code: Terraform Best Practices for Data Teams
How to structure Terraform modules and manage AWS infrastructure for data engineering teams
Kubernetes for Machine Learning: A Practical Guide
Practical tips for running ML workloads on Kubernetes, including GPU scheduling and resource management
Lessons Learned Building an MLOps Platform from Scratch
Key insights from architecting and scaling ML infrastructure for production workloads
Let's Work Together
Available for consulting engagements, architecture reviews, and full-time roles.