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.
AI Systems
Revenue systems and automation workflows
Intelligent systems for intake, follow-up, nurture, retention, and operational routing.
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.