Projects

Systems, models, and infrastructure
built for real operating environments.

A mix of production systems and technical builds. The strongest work is where signal, workflow, and action meet.

Machine Learning

Model training, embeddings, clustering, and NLP

Applied ML research turned into production-ready tooling for real-world business and operational problems.

This section is intentionally quieter until more of the work is published. It stays visible for range, but the strongest proof is in the live system builds above.

Infrastructure

Data pipelines, backend systems, and cloud deployment

The plumbing that keeps everything running — async workers, cloud orchestration, and reliable data flows.

This section is intentionally quieter until more of the work is published. It stays visible for range, but the strongest proof is in the live system builds above.

These projects run across a split stack: customer-facing interfaces, automation runtimes, and background workers designed for reliability.