Consulting

I enjoy sharing what I’ve learned through advising, writing, and teaching, from retrieval-system trade-offs to the engineering practices that make machine-learning systems dependable.

Tegus · Expert Advisor

Vector search

Embedding systems

Retrieval architecture

Advise startups on vector search and similarity-based retrieval, including embedding design, indexing strategies, and trade-offs across vector databases.

Tegus

MLOps Community · Technical Author

Test-driven ML

Reproducible pipelines

System reliability

Write about test-driven development for machine-learning systems, with practical approaches to reliability, reproducibility, and validating ML workflows.

MLOps Community

DataKirk · Technical Instructor

Applied machine learning

Model development

ML engineering

Delivered training in applied machine learning and data science, emphasizing reproducible model development and engineering practices for real-world systems.

DataKirk