Consulting Services
I help engineering teams design, build, and scale ML infrastructure and data platforms. 10+ years of production experience across media, fintech, and defense sectors.
What I Do
MLOps Consulting
Design and implement end-to-end ML platforms: model training pipelines, experiment tracking, model registry, and serving infrastructure.
Platform Engineering
Kubernetes-based platform design, Helm chart authoring, internal developer platforms, and GitOps workflows.
Data Infrastructure
Build reliable data pipelines with Spark, dbt, and modern data stack tooling. Data warehouse design and optimization.
ML System Design
Architecture reviews, technical roadmapping, and hands-on help designing systems that scale from prototype to production.
Why Work With Me
Built MLOps platform at BuzzFeed powering recommendations for millions of users
Led ML infrastructure team at Interos, scaling from 0 to production
Senior Data Engineer at Capital One — high-compliance financial data systems
10+ years shipping production software across ML, data, and full-stack
Hands-on with Kubeflow, MLflow, Airflow, Spark, and the modern data stack
Clear communicator — I write docs and talk to stakeholders, not just code
Engagement Types
Part-Time Consulting
10-20 hrs/week alongside your team. Best for ongoing platform work and advisory.
Project-Based
Fixed-scope engagements with clear deliverables. Great for audits, migrations, or new platform builds.
Full-Time Roles
Open to staff/principal engineer opportunities at mission-driven companies.
What You Get
Weekly async updates and clear documentation
Production-ready code with tests, not PoC-quality throw-aways
Knowledge transfer — your team will understand what was built
Honest assessments, including when you don't need what you think you need
Flexible communication (Slack, email, video) that fits your workflow
Get in Touch
Tell me about your project and I'll get back to you within 48 hours.