8+ years building production ML systems and data pipelines. Now applying that experience to AI integration and workflow automation. Check out my projects or reach out if you want to talk tech.
I'm a lead data scientist with 8+ years of experience in machine learning, big data processing, and production systems. I love to build new things that are cool or useful, sometimes both, sometimes neither.
In my data science career I have built deep learning models, ETL pipelines, analytics platforms, python frameworks, and more. I'm channeling that experience into AI-powered automation and infrastructure. I track LLM developments obsessively, build self-hosted platforms, and help businesses figure out where AI actually adds value.
Rusty Data is where I experiment, build, and tackle interesting challenges.
Production ML models, forecasting, and classification systems
ETL/ELT workflows, Airflow, Databricks, big data processing
Docker, self-hosted platforms, CI/CD, cloud architecture
LLM integration, RAG systems, intelligent workflow automation
Self-hosted containerized infrastructure with GitOps-style continuous deployment, Cloudflare tunnels, secrets management, and orchestration. Running production services local and cloud services.
Automated daily API ETL, sales tracking, ML-powered stock forecasting, shift alerts, and Power BI dashboards for a consumer electronics brand. End-to-end data pipeline from ingestion to visualization.
Self-hosted Open WebUI instances with RAG capabilities, custom AI tooling with Claude Code, and consulting on practical AI adoption strategies for businesses looking to automate intelligently.